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Stripe logoS
Stripe7112 Data Science

Data Analyst

CanadaFull-timeMid-LevelSalary: Not disclosed
Posted Sep 4, 2026Deadline: Nov 21, 2026
Job SnapshotActively hiring
LocationCanada
Job typeFull-time
SalaryNot disclosed
DeadlineNov 21, 2026

Finjobsly Role Intelligence

Experience level
Mid-Level
Work style
Not specified
Visa sponsorship
Not specified
Salary
Not disclosed
Key skills
PythonSQLPaymentsData Science

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Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Design, implement, and maintain data pipelines, dashboards, and reports; extract insights from Stripe's complex data; deliver actionable recommendations through analysis and data storytelling.

What they're looking for

2‑3+ years of full‑time experience as a Business Intelligence Engineer, Data Analyst, or Business Analyst, strong SQL skills, proven multi‑project delivery, clear communication, and ability to build self‑service tooling for stakeholders.

Why this role matters

Your analyses and metrics will inform product, user, and business decisions, enabling Stripe to grow responsibly and advance its mission of increasing the internet’s GDP.

Best suited to

A detail‑oriented collaborator who enjoys turning business problems into data solutions, empowering cross‑functional teams with insights and self‑service analytics.

Fintech requirements

Role verticals

Payments
Company vertical
Payments

Platforms & tools

Stripe
Visa sponsorship: No

About this role

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

Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

In this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll also work with leaders to translate business needs into data problems. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business recommendations through analyses and data storytelling.

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

  • MS/MA + 2 years or BS/BA + 3 years of full-time experience exclusive of internships in Business Intelligence Engineering, Data Analyst, and Business Analyst roles
  • Proficiency in SQL
  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact
  • Ability to design, implement, and maintain data pipelines and dashboards to generate actionable insights based on stakeholder requirements
  • Experience collaborating with cross-functional teams to deliver strategic insights, benchmarks, and analyses that provide recommendations
  • Ability to enable stakeholders and partners by building self-service tooling and providing training to empower stakeholder teams to be data literate and self-sufficient in autonomous reporting capabilities

Preferred qualifications

  • Prior experience at a growth-stage internet or software company
  • Experience with distributed data frameworks like Spark to write and debug data pipelines
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing
  • Strong statistical knowledge
  • Working knowledge of Python
  • Experience creating leadership-level reporting, such as QBRs, MBRs
  • Proficiency with AI tools to accelerate model development, analysis, and coding

More about this role

About company

Stripe logoS

Stripe

Full employer profile →

Required skills

PythonSQLPaymentsData Science

Explore more

More Data Jobs→More jobs at Stripe→Python jobs →SQL jobs →Salary benchmarks for this role →Browse all fintech jobs →

Stripe

Data Analyst

CanadaSalary: Not disclosed

Company insights

52

Happiness score

52/100

Based on 30 verified employee signals

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