In this role, you will 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 will work closely with partners to extract insights from Stripe’s rich and complex data.
You will also work with leaders to translate business needs into data problems.
You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business.
You will deliver actionable business recommendations through analyses and data storytelling.
Requirements & Skills:
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.
Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
Prior experience at a growth stage in an 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.
