Data Analyst

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 will work with some of Stripe’s most fundamental and exciting data, 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

• 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.
• Work closely with partners to extract insights from Stripe's rich and complex data.
• Work with leaders to translate business needs into data problems.
• Build metrics, scalable data pipelines, dashboards, and reports to inform and run the business.
• 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, 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.

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 salary range for this role in the primary location is CA$121,100 - CA$221,900. This range may change if you are hired in another location. 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 specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.

Key skills/competency

• SQL proficiency
• Data pipeline design
• Business intelligence
• Data analysis
• Stakeholder collaboration
• Data storytelling
• Metrics development
• Dashboard creation
• Strategic insights
• Cross-functional teamwork