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Added 22 days ago
Principal Data Analyst
Autodesk
Toronto, ON · Montreal, QC · Quebec, QC · Vancouver, BC · ON · BC · AMER - Canada - Ontario - Toronto - University Ave
Full-time
This role combines deep product analytics judgment, strong SQL/Python capability, software engineering discipline, and practical fluency with modern AI tools. You will operate comfortably…
Added 1 month ago
Solution Engineer
DistillerSR Inc.
Remote, Canada
Full-time · Remote
Experience with Python and APIs, scripting (Python, JavaScript, XML, JSON) or automation tools.
Added 4 months ago
Data Scientist
Gibraltar Mine
McLeese Lake, BC
Full-time
Develop scalable, testable, and reliable internal data science tools, primarily in Python.
Added 1 month ago
FPGA Designer
MDA
Sainte-Anne-de-Bellevue, QC
Full-time
Knowledge of the Unix/Linux environment and scripting languages (Python, CShell, Tcl).
Added 1 month ago
Applied Biodiversity Science Lead
The University of British Columbia
Kelowna, BC
$7,158.42 to $10,292.25 CAD / month
Full-time
Conducts statistical analyses using R and/or Python; develops and documents repeatable analytical workflows.
Added 1 month ago
Analysis Engineer
DOF
Paradise, NS
Temporary
Proficient in working with Orcaflex and is able to run static and dynamic analysis; working knowledge of programming languages such as Python, VBA, or Matlab is desirable
Added 1 month ago
Incident Coordinator
Humankind Global Recruitment
Halifax, NS
Full-time
Familiarity with scripting for support tasks (Python and/or shell/bash) - even at a "can write or adapt a simple script" level.
Added 1 month ago
Dev Lead
J&M Group
Toronto, ON
Contract
Proficiency in Python for automation, scripting, and backend development.
Added 1 month ago
Full Stack Developer Lead (Java, Python, AWS, NodeJS)
Pacer Group
Toronto, ON
$45 to $50 CAD / hour
Contract
Job Title: Full Stack Developer Lead (Java, Python, AWS, NodeJS)
Added 2 months ago
Software Engineer I
Beanfield
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
…enhancing backend systems, APIs, and data processing tools using Python, Java and modern web frameworks. The Software Engineer will collaborate with product managers and other team members…
Added 1 month ago
Senior Applied AI/ML Developer (AutoCAD & Civil 3D)
Autodesk
Vancouver, BC
Full-time
We are building the next generation of AI-powered design experiences for AutoCAD and Civil 3D. As a Senior Applied AI Developer, you will sit at the intersection of emerging AI technology…
Added 1 month ago
Full Stack Java Developer
J&M Group
Toronto, ON
Contract
Strong programming skills in front-end and back-end technologies such as: Front-end: JavaScript, TypeScript, React, Angular, or Vue.js, Back-end: Java, Node.js, Python, or C#
Added 1 month ago
Staff Data Analyst
Stripe
Toronto, ON
Full-time
Added 1 month ago
Data and DevOps Engineer
OSL Retail Services
Mississauga, ON
$65,000 to $90,000 CAD / year
Contract
Proven experience as a Data Developer, analyst, engineer, or Data Scientist
Added 1 month ago
AI Architect
Synopsys Inc
Mississauga, ON
Full-time
Strong proficiency in Python and at least one of TypeScript/JavaScript, Java, C++, or Go.
Added 4 months ago
QA Engineer 区块链测试工程师
Windranger Labs
Ottawa, Ontario
Full-time
Languages: Proficient in programming languages such as Python and Golang, with good coding practices.
Added 1 month ago
Production Support Analyst - Capital Markets
Synechron
Toronto, ON
Full-time
Automate routine tasks through scripting (Python, PERL, etc.) to improve efficiency.
Added 1 month ago
Production Engineering Technician
Magna International
Guelph, ON
Full-time
Controls programming (PLC, Python, Ignition) experience is an asset
Added 1 month ago
Postdoctoral Research Fellow
University of British Columbia
Vancouver, BC · VCH | Vancouver General Hospital - Research Pavilion (VGHRP)
Full-time
Excellent programing skills (e.g., Python, R), with hands-on experience in Bash scripting, workflow management (Snakemake), LLMs, text mining, or knowledge graph construction (e.g.,…
Added 1 month ago
Advisor, Geomatics and Property Data
VIA HFR - VIA TGF Inc
Ottawa, ON · Toronto, ON · Montreal, QC · Quebec, QC
In addition to coordinating the team’s GIS, technology and data needs with Alto’s private developer partner, the Advisor will be responsible for the stewardship, governance, integration,…
Added 1 month ago
Software Architect
Scotiabank
Toronto, ON
Experience developing large applications (Python and microservice architecture are strongly preferred).
Added 1 month ago
Software Engineer (AI Engineer)
Scotiabank
Toronto, ON
Experience developing applications (Python and microservice architecture are preferred).
Added 3 days ago
Team Lead and Technical Manager - Functional Testing
Thorens Inc.
Montreal, QC
Full-time
software tools used in test environments, including Python;
Added 1 month ago
Sr. Data Engineer
eBay
Toronto, ON
Full-time
Proficiency in Python, Java, and Scala, with a strong foundation in data structures and multithreading.
Added 1 month ago
Jr. Analytics Developer
Go Auto
Edmonton, AB
Other
Jr. Analytics Developer - Go Auto Corporate (Mayfield)

Stripe

Staff Data Analyst

Toronto, ON, Canada

Pay: The annual US base salary range for this role is $179,000 - $268,400.
Job type: Full-time
Posting language: English
Posted: Aug 14, 2026

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Original job description

Who we are

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.

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.

Apply now

Please find our California applicant personal information notice here.

The application window will remain open for 100 days after the Job Post is published. However, this opportunity will remain open based on the needs of the business, which may cause the application window to close before or after the 100-day mark.

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More about this job

Responsibilities

Drive the data strategy for risk as a product by defining metrics, analytical frameworks, and data products. Lead the risk experimentation strategy and mentor other data analysts to raise technical and strategic standards.

Requirements

Requires 10+ years of experience in data analytics or science with deep expertise in SQL, Python, and designing experimentation frameworks. Candidates must be able to translate ambiguous business problems into structured analytical approaches for executive stakeholders.

Skills

Data Strategy
SQL
Python
Experimentation Frameworks
Metric Design
Data Pipeline Construction
Risk Modeling
Stakeholder Communication
AI Tools
Causal Inference
A/B Testing
Mentorship
Analytical Frameworks
Data Product Scaling
Risk Decisioning

Benefits

Equity
Company bonus
Sales commissions/bonuses
401(k) plan
Medical benefits
Dental benefits
Vision benefits
Wellness stipends

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Data Science
Risk Management
Fintech
SQL
Python
A/B Testing
Causal Inference
Data Pipelines
Metrics Frameworks
Risk Policies
Underwriting
Merchant Interventions
AI Tools
Data Strategy
Operational Infrastructure
Financial Infrastructure
Risk Capabilities
North Star Metrics
Data Products

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