Data Analyst

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

You will partner with cross-functional teams to build data models, pipelines, and dashboards that drive business decisions. Additionally, you will translate complex business needs into actionable insights and recommendations through data storytelling.

Candidates must have a minimum of 2-3 years of full-time experience in data or business analysis roles along with proficiency in SQL. Strong communication skills and the ability to manage multiple projects while maintaining data pipelines are essential.

• SQLSouhaitée
• Analyse de donnéesSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• SQL
• Data Analysis
• Business Intelligence
• Data Pipelines
• Dashboards
• Data Storytelling
• Cross-functional Collaboration
• Statistical Knowledge
• Python
• Spark
• Engineering Standards
• Code Reviews
• Testing
• Leadership Reporting
• AI Tools
• Stakeholder Requirements
• Literacy
• Dashboard
• Code Review
• Communication
• Data Modeling
• Debugging
• Distributed Data Store
• Economics
• Leadership
• Scalability
• Python (Programming Language)
• Self Service Technologies
• SQL (Programming Language)
• Tooling
• Data Science
• Detail Oriented

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Formation minimale

Baccalauréat

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine