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Since 2015, Mejuri has reimagined what fine jewelry can be in a modern world—shifting it from a traditional gift to to a personal choice rooted in self-expression.

Founded by third-generation jeweller Noura Sakkijha, the brand was built on a simple idea: fine jewelry shouldn’t require a special occasion, and it should never come with guilt. It’s about celebrating yourself—your style, your life, your everyday.

Mejuri meets customers where they are—online, in app, and through a growing global retail footprint of 58+ stores worldwide. Mejuri is also deeply committed to doing things the right way, with responsible sourcing, sustainable practices, and philanthropic initiatives that reflect our values and long-term vision.

Job Overview

The Senior Demand Planner owns the unit sales forecast and the receipt need that flows from it, end to end, across an assigned set of pillars and collections. You build the bottom-up forecast at the geography level and translate it into the monthly receipt need that buying decisions are built on — and you’re accountable for both the accuracy of that forecast and the judgment behind it.

You drive the demand side of the monthly S&OP cycle: presenting your forecast and receipt need at the monthly consensus meeting, walking senior leadership through your assumptions at S&OP, and speaking to any style in your portfolio at a granular level in the weekly trading meeting. Your forecast brings together customer insights, product strategy, market trends, and operational constraints into one coherent demand plan.

Demand in jewelry moves with gifting moments, cultural trends, and input costs that shift with the market — the forecast you own changes shape with it throughout the year.

What you’ll do

• Own the unit sales forecast: Build and maintain a rolling monthly unit forecast at style/color level over a 12–18 month horizon — built net of returns at geography level, and rolled up to total so that aggregate performance never masks a market-level imbalance. Overlay known business drivers from the shared planning calendar: promotions, campaigns, launches, store openings, and key trading periods.
• Translate demand into a receipt dollar need: Convert the unit forecast into the monthly receipt dollar need that Merchandise Planning stress-tests against open-to-buy, and bring it to the consensus meeting with a defensible number and a clear point of view on the trade-offs.
• Manage inventory coverage targets: Own network-level weeks-of-supply and safety stock targets in alignment with Merchandise Planning’s turn goals and Allocation’s in-store average inventory needs, and shape monthly receipts to the seasonal demand curve.
• Drive the monthly S&OP cycle: Own the demand inputs and cadence of the monthly planning cycle — actualizing the prior month, reforecasting on real selling signals, leading the demand consensus meeting, presenting your plan at monthly S&OP, and delivering the locked forecast, weekly disaggregation, and receipt plan on time every cycle.
• Own size distribution curves: Build and maintain the optimal size distribution for every sized style, and recalibrate as the assortment evolves.
• Own forecast accuracy and forecast health: Track actuals against plan at style/color level, distinguishing genuine demand shifts from supply-constrained misses before revising anything downward. Measure both forecast accuracy and directional bias, root-cause the misses that matter, and turn what you learn into a methodology change rather than a one-off correction.
• Forecast across the style lifecycle: Take new introductions from handoff through their first selling period, and carry styles through growth, peak, maturity, and exit with the right forecast and inventory posture at each stage.
• Partner with Supply on inventory risk: Work with Supply as a two-way early warning system on excess, stockouts, delivery delays, and quality issues — aligning on root cause together before adjusting the plan, and adapting the forecast and receipt need when the supply picture changes.
• Make the process better: Continuously evaluate and improve our demand planning process — sharper methodology, better tooling, less manual rebuilding, and planner time spent where judgment actually adds value.
• We’re building an AI-fluent organization. We welcome candidates at all stages of their AI journey — what matters is curiosity, a willingness to learn, and an openness to working alongside AI tools as part of how we do our best work.

What you’ll bring to the team

• 3–5 years of experience in demand planning, merchandise planning, inventory planning, or retail analytics within a fast-paced retail, DTC, or e-commerce environment — with meaningful time spent owning a forecast, not only reporting on one.
• Strong command of forecasting methodology — baseline and trend construction, seasonal shape curves, comp-style logic, promotional overlays, and safety stock and coverage models — and the judgment to know when a forecast needs adjusting, and by how much.
• Experience operating inside an S&OP or monthly consensus process — building a geo-level plan, presenting it to senior stakeholders, and holding a point of view under challenge.
• Strong cross-functional collaboration and communication — aligning Merchandising, Merchandise Planning, Commercial, Marketing, Finance, Allocation, and Supply partners around one plan even when their inputs conflict, and making complex quantitative work land clearly with non-analytical audiences.
• High ownership, rigour, and a continuous improvement mindset — always looking for a better way to run the process, and comfortable operating at pace as priorities shift.
• Advanced Excel or Google Sheets skills, and comfort working in a demand planning system and a BI tool to build your own analysis without waiting on someone else’s queue. Experience with SQL is an asset.
• Experience in jewelry, accessories, or another category with sized, personalized, or attribute-driven product is considered a strong asset, as is experience implementing or materially improving a demand planning system.
• Enthusiasm for Mejuri’s mission and the customers we serve.

Benefits at Mejuri:

• A minimum of four weeks vacation, plus personal days and three religious/cultural observance days.
• A hybrid work model for all corporate roles
• ‘Mejuri Passport’ which allows employees who meet specific criteria to work in other locations for one month per year.
• Comprehensive medical and dental benefits, including mental health coverage, and generous personal and sick days for our full-time employees. We also offer bereavement leave, including miscarriage and stillbirth support.
• Parental leave salary top-up of up to 80%, as well as a personalized return-to-work transition and accommodation plan for full-time employees.
• A generous product discount!

Please note that these benefits apply to full-time employees.

Location

Toronto, Ontario

60 Bloor Street W

Hybrid; 3 days in office 2 days remote

At Mejuri we embrace a hybrid working environment and support our corporate employees to be successful whether they are at home or in the office. The primary purpose of our offices is to drive collaboration and deepen relationships with one another.This position requires in office work 3 days a week and remote work 2 days a week. Our office is located at 60 Bloor Street W, Toronto.

Salary Looking for the perfect next opportunity is a big decision. Mejuri recognizes the importance of pay transparency when it comes to salary ranges as it empowers individuals through the hiring process and supports them in making an informed decision. This role currently has a base pay range of 80000-114000 per annum based on a candidate’s experience and qualifications. We will review individual salary expectations and **weight salary commensurate with experience.

At Mejuri, we use AI-assisted tools as part of our recruitment process to help screen and assess candidate applications. All hiring decisions involve human review, and our Talent team remains responsible for evaluating candidates and making final decisions throughout the process.

#LI-Onsite

At Mejuri our success is driven by a strong commitment to our Purpose and Values. They’re the foundation of our operations, defining how we show up, solve problems, and accomplish incredible things—together.

Our strength comes from each team member’s dedication to embracing and embodying these Values daily. This isn’t merely a duty; it’s a passion that defines us. They guide us in providing extraordinary experiences for our customers and fostering an innovative environment. Success, for us, means living our values relentlessly.

Our values are:

RAISE THE BAR | Stay Curious, Share/Seek Feedback, and Strive for Excellence

CUSTOMER OBSESSED | Get close to the customer and prioritize them in our decisions

EMPOWERED OWNERS | Treat the company like your own, take initiative

FIND A WAY | Seek simple, creative solutions, and act fast

DRIVE RESULTS | Be clear on your goals and be relentless in achieving them

TEAM FIRST | Value team success over personal ego

Accommodation / Accessibility:

Mejuri does not discriminate in hiring or terms and conditions of employment because of an individual’s race, ancestry, colour, place of origin, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, family status or marital status, or any other protected category recognized by provincial or federal laws.

Should you require any accommodation, please inform us and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application.

About the company: LinkSquares is a Boston-based, AI-powered CLM SaaS leader trusted by organizations like DraftKings, Manscaped, and Vivid Seats. We automate the contracting process for legal, finance, and HR teams, helping them save time, cut costs, and improve business outcomes. For more information, visit linksquares.com.

About the team: Join our Revenue Operations organization, the central engine of our Revenue Team that sits at the intersection of marketing strategy, sales execution, and AI innovation. We are a detail-oriented and financially driven team dedicated to driving long-term value and growth by transforming internal processes into strategic advantages. We prioritize a “learn and get better” mentality, where you will not only execute proven processes but actively help refine them for the next generation of LinkSquares’ growth.

About the role: As the Senior GTM Data Analyst, you will shape how we understand and optimize our growth engine by owning the analytical truth layer across the entire revenue organization. In this high-impact role, you will function as an internal revenue economist and independent partner to the VP of Revenue Operations and GTM executives, answering three critical questions: What is happening? Why is it happening? What should we do about it?

You’ll join a collaborative team where you have the autonomy to evolve an existing foundation while building new, scalable data models, KPI architectures, and executive reporting systems that directly influence strategic decisions. Sitting at the intersection of revenue analytics, analytics engineering, business intelligence, and strategic decision support, this is an ideal role for a strategic thinker who enjoys the balance of technical depth, commercial judgment, and hands-on execution.

Responsibilities:

• Serve as an independent analytical partner to GTM leadership, analyzing performance across the full customer lifecycle (pipeline creation, conversion, bookings, retention, expansion, and churn) to surface emerging trends, quantify business impact, and recommend strategic actions.
• KPI Architecture & Dashboards: Own the Revenue organization’s KPI architecture, metric definitions, and calculation logic across Sales, CX, Marketing, Product, and Finance. Rationalize reporting, reduce dashboard sprawl, and create trusted, scalable reporting.
• Planning & Scenario Analytics: Develop models that support revenue planning, pipeline coverage, conversion, velocity, push/slip, and productivity analysis. Model upside/downside scenarios and leading indicators of risk to improve organizational predictability.
• Executive & Board Support: Own the analytical development of recurring executive and Board reporting, ensuring outputs are grounded in reconciled metrics, consistent business logic, and clear, decision-ready frameworks.
• Data Modeling & Architecture: Own, build, and optimize durable transformation and semantic models across the modern data stack for core GTM concepts (accounts, pipeline, bookings, ARR, retention, expansion, churn, and customer lifecycle) while ensuring data quality and lineage.
• Analytics Innovation & AI: Leverage AI tools and automation to accelerate analytical workflows, investigation, documentation, quality assurance, and insight generation while establishing responsible AI governance and patterns.
• Cross-Functional Partnership: Collaborate closely with Revenue Operations, Sales, Marketing, Customer Experience, Product, and Finance to challenge assumptions, guide roadmap prioritization, and act as a trusted advisor on major GTM decisions.

Requirements:

• B2B SaaS Experience: 6+ years supporting a B2B SaaS or recurring-revenue business, with deep fluency in SaaS/GTM economics, unit economics, and full customer lifecycle analysis across Marketing, Sales, and Customer Experience.
• Technical & Modeling Depth: Advanced proficiency in SQL, Snowflake, dbt, Fivetran, Looker (or comparable BI tool), Git, semantic-layer design, ETL/ELT concepts, and data quality monitoring, alongside strong familiarity with Salesforce and GTM data structures.
• AI Integration: Demonstrated proficiency using AI tools to accelerate analytical workflows, documentation, automation, and insight generation, with a strong ability to critically evaluate and validate AI-generated outputs against governed data.
• Analytical & Commercial Mindset: Experience building and governing enterprise KPI frameworks, pipeline/forecasting models, and executive/Board reporting with the ability to translate complex technical findings into actionable commercial insights.
• Collaborative Leadership: A track record of working across departments (Operations, Finance, Sales, CX, Product) to align on metric definitions, establish single-source-of-truth frameworks, and drive consensus.
• Adaptability & Rigor: High standard of intellectual independence and curiosity, with the ability to bring clear recommendations—not just data—in a fast-paced, evolving environment.

Compensation for this role includes an annual base salary range between $150,000 to $175,000. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus. LinkSquares takes into consideration a number of factors when determining an employee’s starting salary, including work location, job-related skills, and relevant education, experience and training. The recruiter assigned to this role will share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates are eligible to participate in the company’s benefit programs. LinkSquares’ benefits include but are not limited to medical, dental, and vision insurance, 401k retirement plan with a company match, equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), flexible paid time off, generous parental leave, life and disability insurances and more.

LinkSquares is an Equal Opportunity Employer and does not discriminate based on any legally protected characteristics.

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Research Statistician, Statistics is responsible for providing statistical support to the research and

development organization. Specific areas of work will include clinical trial work. The Senior Research Statistician works in partnership with experts in multiple disciplines to advance medicines to our patients.

Major Job Responsibilities

• Contribute to design, analysis and reporting of clinical trials or other scientific research studies. Assist with

development of protocols and/or statistical analysis plans with details for programming

implementation. Work under supervision to implement sound statistical methodology in scientific investigations.

• Assist in identifying scientifically appropriate data collection instruments. Identify and report data issues or

violations of study assumptions. Provide programming specifications for derived variables and analysis datasets. Collaborate with Data Science in preparing for database lock.

• With supervision perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology.

• With supervision, develop strategy for data presentation and inference. Ensure appropriate interpretation of

statistical deliverables in collaboration with other functions. Collaborate in publication of scientific research.

Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures.

Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality.

• Work collaboratively with cross-functional teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions and pursue analyses suggested by data under supervision. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration.

Qualifications

Minimum Qualifications:

• MS or PhD in Statistics, Biostatistics, or a highly related field.
• 4+ years of experience performing statistical computations and simulations
• Experience with pharma clinical trials (internship or employment)

Preferred Qualifications:

• Experience in oncology

Other Required Skills:

• High degree of technical competence and effective communication skills, both oral and written
• Able to build strong relationship with peers and cross-functional partners to achieve higher performance.
• Highly motivated to drive innovation by raising the bar and challenging the status quo
• Able to identify data or analytical issues, and assist with providing solutions by either applying own skills and knowledge or seeking help from others

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Research Statistician, Statistics is responsible for providing statistical support to the research and

development organization. Specific areas of work will include clinical trial work. The Senior Research Statistician works in partnership with experts in multiple disciplines to advance medicines to our patients.

Major Job Responsibilities

• Contribute to design, analysis and reporting of clinical trials or other scientific research studies. Assist with

development of protocols and/or statistical analysis plans with details for programming

implementation. Work under supervision to implement sound statistical methodology in scientific investigations.

• Assist in identifying scientifically appropriate data collection instruments. Identify and report data issues or

violations of study assumptions. Provide programming specifications for derived variables and analysis datasets. Collaborate with Data Science in preparing for database lock.

• With supervision perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology.

• With supervision, develop strategy for data presentation and inference. Ensure appropriate interpretation of

statistical deliverables in collaboration with other functions. Collaborate in publication of scientific research.

Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures.

Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality.

• Work collaboratively with cross-functional teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions and pursue analyses suggested by data under supervision. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration.

Qualifications

Minimum Qualifications:

• MS or PhD in Statistics, Biostatistics, or a highly related field.
• 4+ years of experience performing statistical computations and simulations
• Experience with pharma clinical trials (internship or employment)

Preferred Qualifications:

• Experience in oncology

Other Required Skills:

• High degree of technical competence and effective communication skills, both oral and written
• Able to build strong relationship with peers and cross-functional partners to achieve higher performance.
• Highly motivated to drive innovation by raising the bar and challenging the status quo
• Able to identify data or analytical issues, and assist with providing solutions by either applying own skills and knowledge or seeking help from others

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Research Statistician, Statistics is responsible for providing statistical support to the research and

development organization. Specific areas of work will include clinical trial work. The Senior Research Statistician works in partnership with experts in multiple disciplines to advance medicines to our patients.

Major Job Responsibilities

• Contribute to design, analysis and reporting of clinical trials or other scientific research studies. Assist with

development of protocols and/or statistical analysis plans with details for programming

implementation. Work under supervision to implement sound statistical methodology in scientific investigations.

• Assist in identifying scientifically appropriate data collection instruments. Identify and report data issues or

violations of study assumptions. Provide programming specifications for derived variables and analysis datasets. Collaborate with Data Science in preparing for database lock.

• With supervision perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology.

• With supervision, develop strategy for data presentation and inference. Ensure appropriate interpretation of

statistical deliverables in collaboration with other functions. Collaborate in publication of scientific research.

Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures.

Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality.

• Work collaboratively with cross-functional teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions and pursue analyses suggested by data under supervision. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration.

Qualifications

Minimum Qualifications:

• MS or PhD in Statistics, Biostatistics, or a highly related field.
• 4+ years of experience performing statistical computations and simulations
• Experience with pharma clinical trials (internship or employment)

Preferred Qualifications:

• Experience in oncology

Other Required Skills:

• High degree of technical competence and effective communication skills, both oral and written
• Able to build strong relationship with peers and cross-functional partners to achieve higher performance.
• Highly motivated to drive innovation by raising the bar and challenging the status quo
• Able to identify data or analytical issues, and assist with providing solutions by either applying own skills and knowledge or seeking help from others

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we’re changing that. We build spend solutions...

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

As a Senior Business Analyst at phData, you act as the bridge between complex business challenges and innovative technical solutions. You will challenge the status quo, lead with AI, and guide stakeholders through AI and digital transformations to ensure every dollar spent on technology delivers measurable business value.

Core Responsibilities

Executive & Stakeholder Discovery

• Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders to uncover root-cause problems and define project vision, scope, and success metrics.
• Understand enterprise business strategy and align solutions to clear business outcomes.

Process & Value Stream Design

• Map “As-Is” and “To-Be” value streams and business processes
• Identify bottlenecks and automation/AI opportunities, distinguishing full automation from human-augmented workflows.
• Quantify benefits (cycle time, error reduction, capacity, CSAT) to support prioritization.

Requirements for Data, AI & GenAI

• Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria, including for AI/ML and GenAI features.
• Capture business rules, decision logic, and user journeys.
• Define data requirements (sources, quality, latency, privacy constraints).
• Specify model behavior, guardrails, and human-in-the-loop interactions.
• Address non-functional needs (performance, explainability, auditability, SLAs).

Delivery, Change & Outcomes

• Navigate complex organizational hierarchies and goals to build consensus.
• Support experimentation and rollout (PoCs, pilots), including test design, feedback loops, training, SOP updates, and communications.
• Partner with architects and developers to ensure designs meet business needs and oversee User Acceptance Testing (UAT).
• Own the quality and readiness of BA deliverables and coach project team members.
• Drive project outcomes by keeping alignment between business objectives, implementation, and success metrics.

AI-Enabled BA Practice & Client Relationships

• Use Generative AI tools (e.g., Claude, Glean, agents) to accelerate analysis, documentation, and solution design—letting the tech do the heavy lifting while you validate outputs, synthesize themes, and recommend future states.
• Establish, grow, and maintain strong customer relationships as a trusted advisor.

Qualifications

• 6+ years of experience in business analysis or product development in the data and analytics industry.
• 4+ years of experience in a client-facing consulting environment.
• Demonstrated ability to facilitate interviews and workshops across multiple domains and organizational levels, translating ambiguous needs into clear, structured requirements and user stories.
• Exceptional communication and presentation skills, able to explain complex topics to non-technical stakeholders.
• Expertise in Agile life cycles and tools (e.g., Jira, Azure DevOps, Confluence, Visio or similar).
• Hands-on experience leveraging AI to accelerate day-to-day BA activities in client delivery.
• Understanding of adoption and change management approaches and familiarity with industry-standard strategy frameworks.
• Comfortable with ambiguity, with strong curiosity for the “why” behind the “what.”
• Proven ability to coach and mentor others and contribute to reusable BA artifacts.
• Strong analytical and problem-solving skills.

#LI-DNI

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is responsible for bringing people, process, and technology together to generate business value from clinical trials data. Our operational model is exemplified through execution and innovation. This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences.

Responsibilities

Ensures that the requirements of each study protocol are reflected in systems designs and that common data standards are used

• Ensures that systems are specified to optimize on functionality, end user experience, and data flow

• Accountable for the on-time design and delivery of new clinical systems, integrations between systems, as well any required changes to clinical systems (e.g., EDC, IRT,). Utilizes project management tools to track study progress and plan work. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions

• Ensures that TA- and program-level consistency is achieved

• Interacts with and influences DSS and cross-functional team members to achieve program and study objectives. Ensures that assigned work product is synchronized with upstream and downstream dependencies

• Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development

• Responsible for coaching and mentoring Data Science Associates

• Participates in DSS and cross-functional innovation and process improvement initiatives

Qualifications

• Bachelor’s degree in business, management information systems, computer science, life sciences or equivalent. Masters preferred
• Must have 3+ years of clinical technology experience (e.g., EDC, IRT, ePRO) or 5+ years of experience in a similar technical role or in a clinical development role. Experience with common industry design and development tools preferred
• Demonstrated understanding of clinical trial process
• Knowledge of CDASH and SDTM
• Demonstrated ability to influence of others without direct authority
• Demonstrated effective communication skills
• Demonstrated effective analytical skills

Additional Information

​Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is responsible for bringing people, process, and technology together to generate business value from clinical trials data. Our operational model is exemplified through execution and innovation. This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences.

Responsibilities

Ensures that the requirements of each study protocol are reflected in systems designs and that common data standards are used

• Ensures that systems are specified to optimize on functionality, end user experience, and data flow

• Accountable for the on-time design and delivery of new clinical systems, integrations between systems, as well any required changes to clinical systems (e.g., EDC, IRT,). Utilizes project management tools to track study progress and plan work. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions

• Ensures that TA- and program-level consistency is achieved

• Interacts with and influences DSS and cross-functional team members to achieve program and study objectives. Ensures that assigned work product is synchronized with upstream and downstream dependencies

• Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development

• Responsible for coaching and mentoring Data Science Associates

• Participates in DSS and cross-functional innovation and process improvement initiatives

Qualifications

• Bachelor’s degree in business, management information systems, computer science, life sciences or equivalent. Masters preferred
• Must have 3+ years of clinical technology experience (e.g., EDC, IRT, ePRO) or 5+ years of experience in a similar technical role or in a clinical development role. Experience with common industry design and development tools preferred
• Demonstrated understanding of clinical trial process
• Knowledge of CDASH and SDTM
• Demonstrated ability to influence of others without direct authority
• Demonstrated effective communication skills
• Demonstrated effective analytical skills

Additional Information

​Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

About the roleWe are looking for a Senior BI Engineer to design, build and maintain our business intelligence platform. You will be responsible for transforming data into trusted, actionable insights...

About the roleWe are looking for a Senior BI Engineer to design, build and maintain our business intelligence platform. You will be responsible for transforming data into trusted, actionable insights...

About the Team

OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and translate evidence into better decisions.

As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These capabilities create powerful opportunities to improve cybersecurity, but they also introduce risks that traditional security tools and processes were not designed to address. Meeting this moment requires new ways to measure security, evaluate defenses, and distinguish genuine risk reduction from friction that slows users down.

About the Role

We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents.

You will work across OpenAI’s Security organization and cybersecurity product teams to measure emerging risks, improve internal security controls, and shape AI-powered security products. The problems are foundational: How do we know whether an agent’s security controls are effective? Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system identifies a potential vulnerability, how do we determine whether the finding is accurate, actionable, and ultimately resolved? How do we detect anomalous behavior or risky access when the systems themselves are changing rapidly?

You will report into Data Science while partnering closely with Security, Cyber Product, Engineering, and Research. This is a high-ownership role for someone who can establish a new analytical discipline, operate across organizational boundaries, and turn ambiguous security challenges into measurable improvements.

In This Role You Will

• Define how we measure AI-agent security. Establish metrics and evaluation frameworks for security-control coverage, agent behavior, sensitive actions, access patterns, detection quality, and emerging risks.

• Improve security controls without introducing unnecessary friction. Quantify the effectiveness and operational costs of safeguards, including false positives, blocked actions, escalations, approval delays, and recovery paths. Help teams make controls safer, more precise, and easier to use.

• Build the data foundations for security decisions. Partner with engineering and data teams to improve instrumentation, connect fragmented telemetry, establish trusted datasets, and surface important coverage and data-quality gaps.

• Strengthen detection and response. Identify meaningful signals of anomalous behavior, risky access, sensitive-data exposure, and other security-relevant activity. Evaluate whether interventions improve detection quality, response times, and real-world security outcomes.

• Shape AI-powered cybersecurity products. Partner with product, engineering, and research teams to assess how effectively AI systems identify security issues, support developer and enterprise workflows, and create measurable customer value.

• Develop evaluation systems for security findings. Define quality measures for findings, including accuracy, severity, actionability, duplication, resolution, and downstream impact. Connect model behavior and product changes to outcomes such as triage, remediation, and vulnerability reduction.

• Understand the complete security workflow. Measure how users discover, investigate, validate, prioritize, and resolve security issues. Identify opportunities to improve activation, adoption, retention, and enterprise value across customer-facing cybersecurity products.

• Design rigorous measurement and experimentation strategies. Evaluate new models, security controls, product features, and workflows through controlled experiments, staged rollouts, observational analyses, and other methods appropriate for high-stakes environments.

• Translate analysis into security and product strategy. Identify the highest-value decisions, clarify tradeoffs, recommend where teams should invest, and communicate findings clearly to technical partners and senior leadership.

• Help establish a new security data science capability. Build a focused roadmap, create durable operating rhythms across Data Science and Security, and help shape how this discipline grows over time.

You Might Thrive in This Role If You Have

• 5+ years of experience in data science, applied research, analytics, or a related quantitative field, with a track record of owning ambiguous, high-impact problems.

• Experience in cybersecurity, trust and safety, fraud or abuse prevention, privacy, platform integrity, or another domain involving adversarial behavior and difficult-to-measure risks.

• Strong proficiency in SQL and Python, including experience investigating complex datasets, working through incomplete instrumentation, and building reproducible analytical workflows.

• Experience defining meaningful metrics and evaluation frameworks when ground truth is limited, outcomes are delayed, or important risks cannot be observed directly.

• Strong judgment in experimentation, causal inference, observational analysis, and the practical limitations of different measurement approaches.

• The ability to partner effectively with security engineers, product managers, software engineers, researchers, data engineers, and senior leaders.

• A demonstrated ability to translate technical analysis into concrete improvements in products, systems, controls, or organizational priorities.

• Comfort operating independently, defining a roadmap, and bringing structure to a domain without established processes or industry standards.

You Could Be an Especially Great Fit If You Have

• Experience with detection engineering, threat research, security operations, insider risk, identity and access management, or privacy-preserving security analytics.

• Familiarity with AI agents, large language models, model evaluations, automated code review, or AI-powered cybersecurity products.

• Experience evaluating security findings, vulnerability detection, remediation workflows, or developer-facing security tools.

• Experience balancing security effectiveness against user experience, including false positives, approval flows, operational burden, and recovery behavior.

• Experience building automated monitoring, anomaly detection, production-oriented data assets, or systems that connect model outputs to real-world outcomes.

• A track record of building new cross-functional measurement programs or establishing analytical capabilities from the ground up.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the Role

The GTM Business Operations team is looking for a curious, driven, and high-impact Senior Analyst to join us in support of Samsara’s fastest growing business in the Public Sector.

Our team’s mandate is to drive Public Sector revenue growth through strategic analytics, insights, and initiatives across the go-to-market (GTM) organization. We are a highly collaborative team that partners closely with sales leaders and cross-functional partners to hit ambitious growth targets, scale the organization sustainably, and tackle GTM challenges head-on.

In this role, you will report directly to the Business Operations & Strategy Lead for the Public Sector business and serve as a critical thought partner and analytical engine for the business — helping to shape how Samsara wins in public sector markets.

This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

You Should Apply If

• You want to impact the industries that run our world: Your efforts will have a real impact on our communities– helping kids get to school on-time and safely, keeping roads cleared after storms, and ensuring public servants return home safely.
• You’re motivated by untapped opportunity: You’re energized by building and pursuing new ventures that don’t have a pre-set playbook. You know how to use data, frameworks, and good judgment to cut through the noise and drive decisions.
• You’re excited about AI as a force multiplier: You don’t just use AI tools - you think carefully about where and how they change the way analytical and operational work gets done, and you want to be at the front of that shift
• You are the architect of your own career: You take initiative and love learning. If you put in the work, this role won’t be your last at Samsara. We have built a culture that encourages rapid career development and opportunities to experiment and master your craft in a high impact environment.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. Youwill be surrounded by a high-calibre team that will encourage you to do your best.

In This Role, You Will

• Partner with the Business Operations and Strategy lead for Public Sector leadership to develop and refine go-to-market strategy across government and public sector segments (Federal, SLED, and adjacent verticals)
• Assess market trends (e.g., procurement policy, budget cycles, competitive dynamics) to identify market opportunities, prioritize focus areas, and drive initiatives to help the business deliver on growth ambitions
• Build and maintain analytical models that assess and diagnose performance across teams, territories, segments, and products
• Identify, evaluate, and implement AI-enabled workflows and automation opportunities to increase the team’s analytical throughput and scale GTM activations
• Share insights and recommendations in team business reviews, executive briefings, and planning cycles with data-driven insights and well-structured materials
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new markets

Minimum Requirements for the Role

• 3–5+ years of experience in analytical roles (e.g., Consulting, Business Operations, Sales Operations, Strategy, or GTM Analytics)
• Strong analytical and logical reasoning skills, with the ability to independently structure a problem, structure analyses, and communicate findings clearly to non-technical stakeholders
• Demonstrated fluency with data tools — including Excel/Google Sheets, SQL/Databricks, and/or a BI or visualization platform (e.g., Tableau, Looker, Mode)
• Working familiarity with AI tools (e.g., Claude, ChatGPT, Copilot) and an interest in building or evaluating AI-assisted workflows
• Kind and collaborative orientation who is energized by working with a lot of different types of people from many teams (sense of humor is a big plus)
• Highly organized with exceptional attention to detail and sense of ownership
• Highly communicative and able to move fast in a remote working environment
• Comfortable with ambiguity and energized by the challenge of operating in a high-growth company and sector
• Fully fluent in English

An Ideal Candidate Also Has

• Familiarity with Public Sector sales dynamics, including procurement cycles, contract vehicles, and compliance considerations
• A track record of publishing AI products, workflows, or automations that unlocked new ways of working with superior insights, capabilities, or efficiency
• Experience building strong relationships and collaborating with cross-functional partners
• High intellectual curiosity and honesty: we love to debate ideas, and losing a debate to a good argument is just as exciting as winning one

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. Learn more about our total rewards and benefits below.

Annual Base Salary

$91,630—$138,600 USD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the Role

The GTM Business Operations team is looking for a curious, driven, and high-impact Senior Analyst to join us in support of Samsara’s fastest growing business in the Public Sector.

Our team’s mandate is to drive Public Sector revenue growth through strategic analytics, insights, and initiatives across the go-to-market (GTM) organization. We are a highly collaborative team that partners closely with sales leaders and cross-functional partners to hit ambitious growth targets, scale the organization sustainably, and tackle GTM challenges head-on.

In this role, you will report directly to the Business Operations & Strategy Lead for the Public Sector business and serve as a critical thought partner and analytical engine for the business — helping to shape how Samsara wins in public sector markets.

This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

You Should Apply If

• You want to impact the industries that run our world: Your efforts will have a real impact on our communities– helping kids get to school on-time and safely, keeping roads cleared after storms, and ensuring public servants return home safely.
• You’re motivated by untapped opportunity: You’re energized by building and pursuing new ventures that don’t have a pre-set playbook. You know how to use data, frameworks, and good judgment to cut through the noise and drive decisions.
• You’re excited about AI as a force multiplier: You don’t just use AI tools - you think carefully about where and how they change the way analytical and operational work gets done, and you want to be at the front of that shift
• You are the architect of your own career: You take initiative and love learning. If you put in the work, this role won’t be your last at Samsara. We have built a culture that encourages rapid career development and opportunities to experiment and master your craft in a high impact environment.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. Youwill be surrounded by a high-calibre team that will encourage you to do your best.

In This Role, You Will

• Partner with the Business Operations and Strategy lead for Public Sector leadership to develop and refine go-to-market strategy across government and public sector segments (Federal, SLED, and adjacent verticals)
• Assess market trends (e.g., procurement policy, budget cycles, competitive dynamics) to identify market opportunities, prioritize focus areas, and drive initiatives to help the business deliver on growth ambitions
• Build and maintain analytical models that assess and diagnose performance across teams, territories, segments, and products
• Identify, evaluate, and implement AI-enabled workflows and automation opportunities to increase the team’s analytical throughput and scale GTM activations
• Share insights and recommendations in team business reviews, executive briefings, and planning cycles with data-driven insights and well-structured materials
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new markets

Minimum Requirements for the Role

• 3–5+ years of experience in analytical roles (e.g., Consulting, Business Operations, Sales Operations, Strategy, or GTM Analytics)
• Strong analytical and logical reasoning skills, with the ability to independently structure a problem, structure analyses, and communicate findings clearly to non-technical stakeholders
• Demonstrated fluency with data tools — including Excel/Google Sheets, SQL/Databricks, and/or a BI or visualization platform (e.g., Tableau, Looker, Mode)
• Working familiarity with AI tools (e.g., Claude, ChatGPT, Copilot) and an interest in building or evaluating AI-assisted workflows
• Kind and collaborative orientation who is energized by working with a lot of different types of people from many teams (sense of humor is a big plus)
• Highly organized with exceptional attention to detail and sense of ownership
• Highly communicative and able to move fast in a remote working environment
• Comfortable with ambiguity and energized by the challenge of operating in a high-growth company and sector
• Fully fluent in English

An Ideal Candidate Also Has

• Familiarity with Public Sector sales dynamics, including procurement cycles, contract vehicles, and compliance considerations
• A track record of publishing AI products, workflows, or automations that unlocked new ways of working with superior insights, capabilities, or efficiency
• Experience building strong relationships and collaborating with cross-functional partners
• High intellectual curiosity and honesty: we love to debate ideas, and losing a debate to a good argument is just as exciting as winning one

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. Learn more about our total rewards and benefits below.

Annual Base Salary

$91,630—$138,600 USD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

ABOUT YOU

We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund’s entire data and automation stack end to end — and then own it as the fund goes live.

The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role.

Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team.

If you’re passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you!

ABOUT US

Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

For more information, visit xsolla.com.

Responsibilities

First 6 months — priorities in order

- Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped.

Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers.

Phase 1: Build (through first close)

Deal pipeline management

- Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing.

- Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence.

Scoring and underwriting data layer

- Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts.

- Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation.

- Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed.

Fundraising / LP pipeline

- Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep.

- Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP.

Investor and borrower dashboards

- Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers.

- Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits.

Reliability, cost, and security of the stack

- Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship.

- Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms.

- Documented runbooks and handover-ready documentation as part of “done” — the stack must be operable by someone other than its author.

Phase 2: Operate (post-close)

- Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis.

- Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure.

Client and investor facing

This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack.

Qualifications and Skills

Required

- 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks).

- Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing.

- Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts.

- Workflow orchestration experience (n8n, Airflow, or comparable).

- BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions.

- Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling.

- Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation.

- Strong written and spoken English; comfortable presenting to senior external audiences.

Preferred

- Direct exposure to private credit, lending, or fund operations.

- Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar).

- Experience with embeddings / semantic search and multi-model AI setups.

- Web development ability (React / TypeScript or similar) for internal tools and dashboards.

- Experience in audited or regulated environments (SOC 2, fund audits, or equivalent).

Benefits

We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Equal Employment Opportunity Statement

Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration

For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following:

• Criminal history check
• Employment verification
• Education verification
• Credit history check

Relevance to Job Responsibilities

The background check is relevant to this position because of the following role responsibilities:

• Handling sensitive financial information and supporting fund analytics, financial models, and deal data
• Accessing confidential company data
• Ensuring compliance with regulatory requirements

Rights Under the Fair Chance Act

Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].

By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

• Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
• Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
• Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
• Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
• Contribute to code reviews, design discussions, and data science best practices.
• Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
• Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

• Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
• 5+ years of experience applying data science and machine learning to real-world challenges.
• Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
• Experience working with cloud-based data pipelines (AWS, GCP, or similar).
• Solid understanding of ML algorithms, evaluation metrics, and model deployment.
• Effective communicator and team player with a passion for solving hard problems.
• Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
• Prior exposure and interest in LLMs is a plus.
• Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $100,000 USD - $125,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

• Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
• Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
• Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
• Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
• Contribute to code reviews, design discussions, and data science best practices.
• Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
• Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

• Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
• 5+ years of experience applying data science and machine learning to real-world challenges.
• Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
• Experience working with cloud-based data pipelines (AWS, GCP, or similar).
• Solid understanding of ML algorithms, evaluation metrics, and model deployment.
• Effective communicator and team player with a passion for solving hard problems.
• Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
• Prior exposure and interest in LLMs is a plus.
• Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $80,000 USD - $100,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

• Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
• Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
• Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
• Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
• Contribute to code reviews, design discussions, and data science best practices.
• Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
• Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

• Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
• 5+ years of experience applying data science and machine learning to real-world challenges.
• Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
• Experience working with cloud-based data pipelines (AWS, GCP, or similar).
• Solid understanding of ML algorithms, evaluation metrics, and model deployment.
• Effective communicator and team player with a passion for solving hard problems.
• Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
• Prior exposure and interest in LLMs is a plus.
• Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $150,000 - $175,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Senior Business Analyst - SaaS & Income Processing Application (Hybrid Toronto)

The Role

Capco is seeking a Security Engineering Developer to design, develop, and enhance enterprise authentication capabilities on a Unified Authentication Platform. The role will focus on integrating modern Identity and Access Management (IAM) solutions such as Ping Identity (or equivalent), implementing passwordless authentication, MFA, token services, and secure API integrations to deliver scalable, secure, and seamless authentication experiences.

What You’ll Do

Capco is seeking a tenacious & proactive Corporate Actions Business Analyst to join our growing team that works closely with clients to implement strategic SaaS Corporate Actions & Income Processing application and its associated platform components across the Americas and in Europe. Do you have a strong Asset Servicing background and a proven record of collaborating effectively with clients & multiple teams to deliver outstanding results?

The Corporate Actions BA will be responsible for:

• User Testing Management & Reporting- working with clients to triage issues and to accurately track, report and expedite all phases of testing, challenging clients on change vs defect and ensuring development activity is focused on the essential issues for the priority milestones. Working with clients to have clean and accurate data on test execution progress and issue tirage & delivery.

• Training- quickly absorbing our industry leading APIs and product functionality to enable you to run client training sessions which includes the preparation of material, plans for delivery, and hands-on product demonstrations & training.

• Data Integration / Configuration Definition- working with our clients to define upstream and downstream data integration mapping, and suitable product configurations to support the client’s business.

• Migration/Conversion - supporting the Implementation Manager in the definition of the conversion strategy and the execution runbook. Assisting on mock conversions and final go-live, ensuring any issues from the mocks are reported and tracked to completion in good time for subsequent mock runs.

• Production Compare - participating in all phases of the reconciliation work to compare legacy output to BR’s solution for the same inputs using BDC (BR Data Control). Prioritising & driving improvements to match rates via new rule definitions and daily reporting both internally and to clients.

• Production Readiness - supporting the Implementation Manager by completing checklist activities and collaborating with internal and client stakeholders to ensure projects are successfully implemented on time and transition successfully into BAU.

• Collaboration- working closely with internal teams on delivery of conversions activities, and providing mentoring/guidance to junior members of the team.

What We’re Looking For

• 3-5 yrs experience as a conversions/implementation consultant, working on SaaS project delivery to Wealth or Capital Markets organisations.

• Asset Servicing platforms (either in-house or vendor solutions) in a Wealth Management, Investment Banking, or other financial environment.

• Client facing, and able to build good working relationships with clients whilst being strong enough to defend BR’s position.

• Experience of large scale projects and solid understanding of the full project lifecycle and Governance.

• Excellent attention to detail to enable accurate reporting.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
• Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution
• Virtual Health Care – Company-paid program available to all employees and their dependents/partners
• Employee & Family Assistance Program (EFAP) – Company-paid support services for employees and their dependents/partners
• Parental Leave Top-Up – Enhanced parental leave benefits available from Day 1 of employment
• New Parent Gift – A company-sponsored gift to celebrate the arrival of a new child
• Wellness Support – Fitness reimbursement benefit to promote health and well-being
• Business Coach from Day 1: Personalized one-on-one coaching to support career growth, accelerate development, and help achieve your professional goals at Capco.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-hybrid

Pay Transparency

The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.

Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.

Canada Pay Transparency

$118,000—$135,000 CAD