Back to search
Data & AnalyticsNot provided by source

Data Analyst

Stripe · Not provided by source

Apply
Last seen by MeritLog September 10, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Stripe's Greenhouse job board and last checked it on September 10, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model
Not provided by source
Salary
Not listed by source
Location
Canada
Occupation
Database Architects(O*NET 15-1243.00)
Company website
docs.google.com

Hiring context

How this role compares at Stripe

Stripe has 620 live roles in MeritLog’s catalog across 12 job families, and 102 of them are in data & analytics. 2 of those listings publish a pay range, a disclosure rate of 0%.

Stripe concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What they're asking for

  • Prior experience at a growth-stage internet or software companySkillPreferred
  • Experience with distributed data frameworks like Spark to write and debug data pipelinesSkillPreferred
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testingSkillPreferred
  • Strong statistical knowledgeSkillPreferred
  • Working knowledge of PythonSkillPreferred
  • Experience creating leadership-level reporting, such as QBRs, MBRsSkillPreferred
  • Proficiency with AI tools to accelerate model development, analysis, and codingSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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 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

Privacy choices

Analytics and advertising stay off unless you allow them. Private data stays out.

Read the privacy notice