Data Analyst
| Company | Stripe |
|---|---|
| Location | United States |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Mid Level, Senior |
Requirements
- 2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
- Proficiency in SQL and Python
- Strong statistical knowledge
- Expertise in visualization and using data insights to make recommendations and achieve goals
- Proven ability to manage and deliver on multiple projects with great attention to detail
- Ability to clearly communicate results and drive impact
- Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.
Responsibilities
- Partner deeply with teams across Stripe to ensure that users, products, and 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.
Preferred Qualifications
- Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
- Prior experience at a growth stage internet or software company.
- Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
- Good understanding of development processes and best practices like engineering standards, code reviews, and testing.