Staff Data Analyst

Stripe; Toronto; Hybrid; CAD 248,000 - 372,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Job summary

Stripe is seeking an experienced data analyst to drive the data strategy for risk as a product offering. You will define the metrics, data products, and analytical frameworks needed as Stripe brings risk capabilities to platforms and connected accounts at scale.

You will own the definition, reliability, and visibility of our most important risk metrics, establish a canonical set of north star and operational metrics, and build scalable pipelines to keep insights current.

Qualifications

• 10+ years in Data Analytics, Data Science, or related roles.
• Track record of defining and driving data strategy across multiple teams.
• Experience designing experimentation frameworks or measurement strategies for complex, multi-variant systems.
• Deep expertise in SQL; proficiency in Python.
• Ability to translate ambiguous business problems into structured analytical approaches and communicate findings to executives.
• Experience building and scaling data products, metrics frameworks, and dashboards.
• Influence across engineering, product, and business teams.
• Proficiency with AI tools to accelerate model development, analysis and coding.

Responsibilities

• Define the metrics, data products, and analytical frameworks needed as Stripe brings risk capabilities to platforms and connected accounts at scale.
• Partner with Product, Engineering, and Risk leadership to ensure data investments align with the product roadmap.
• Own the definition, reliability, and visibility of our risk metrics; establish a canonical set of north star and operational metrics.
• Build and maintain infrastructure that keeps metrics accurate, with clear ownership, alerting on regressions, and scalable pipelines.
• Evolve Stripe's risk experimentation strategy by defining what we test, how we measure, and how we learn.
• Mentor and raise the bar for Data Analysts on the team; guide on framing problems and communicating findings to stakeholders.

Skills

Data analytics

Data strategy

Experimentation

SQL

Python

Analytical thinking

Data products

Stakeholder management

AI tools

Education

Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field

Tools

SQL

Python

Job description

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

Who we are

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About The Team

The Risk Data Science team builds the data foundations, models, and measurement frameworks that power Stripe's risk and product decisions — from underwriting and reserves to merchant interventions and enablements. We're at an inflection point: as Stripe increasingly offers risk capabilities as a product to platforms and users, we need a data leader to shape how we build, measure, and evolve our risk data strategy across the

What you’ll do

We are looking for an experienced data analyst to drive the data strategy for our risk as a product offering. Define the metrics, data products, and analytical frameworks needed as Stripe brings risk capabilities to platforms and connected accounts at scale. Partner with Product, Engineering, and Risk leadership to ensure data investments align with the product roadmap. You will design metrics, pipelines, and data products that serve as the analytical backbone for risk decisioning.

You will own the definition, reliability, and visibility of our most important risk metrics. Establish a canonical set of north star and operational metrics and ensure they are trustworthy, well-documented, and consistently surfaced to the right audiences. Build and maintain the infrastructure that keeps these metrics accurate as our data and product landscape evolves, including clear ownership, alerting on regressions, and scalable pipelines that reduce the cost of keeping insights current.

You will also own and evolve Stripe's risk experimentation strategy by defining what we test, how we measure, and how we learn. Ensure we can rigorously evaluate the impact of changes to risk policies, merchant journeys, and risk models across diverse merchant populations.

Finally, you will mentor and raise the bar for the Data Analysts on the team. Set technical and strategic standards. Guide junior and senior analysts on how to frame ambiguous problems, structure analyses for maximum impact, and communicate findings to senior stakeholders.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• 10+ years in Data Analytics, Data Science, or related roles
• Track record of defining and driving data strategy across multiple teams — not just executing on a roadmap, but shaping it
• Experience designing experimentation frameworks or measurement strategies for complex, multi-variant systems (e.g., risk policies, pricing, marketplace dynamics)
• Deep expertise in SQL; proficiency in Python
• Strong ability to translate ambiguous business problems into structured analytical approaches and communicate findings to executive stakeholders
• Experience building and scaling data products (metrics frameworks, pipelines, dashboards) that become operational infrastructure, not one-off analyses
• Demonstrated ability to influence without authority across engineering, product, and business teams
• Proficiency with AI tools to accelerate model development, analysis and coding

Preferred Qualifications

• Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field
• Experience in risk, trust & safety, or related domains and understanding of risk in the Fintech space
• Experience building data for platform/product offerings where data is part of the product surface, not just internal analytics
• Familiarity with causal inference and A/B testing in non-standard environments (e.g., where randomization is constrained by risk considerations)

Hybrid work at Stripe

This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).

In-office expectations

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

Working remotely at Stripe

A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet‑ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live.

Pay and benefits

The annual US base salary range for this role is $179,000 - $268,400. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

We look forward to hearing from you.

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.