[Hiring] Revenue Analytics Manager @Stripe
Location: Canada
Company: Stripe
Job Type: Full-time
Posted: Jul 29, 2025
Application deadline: Nov 9, 2025
Source: Remotive
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
As a manager within our GTM Analytics team, you will lead and inspire a high performing team of data analysts to build and deliver data products to our key leaders across Sales and GTM Operations. You are a holistic thinker, are eager to create solutions, and like to continuously find ways for your team to improve. You will play a crucial role in driving revenue growth and operational efficiency through data-informed strategies, ultimately impacting key business decisions that enhance performance across Sales and GTM Operations.
- Manage a team of diverse data analysts, acting as a player-coach and partnering with them to go deep in developing expertise in Stripe’s business and GTM data.
- Collaborate with stakeholders across Sales, Marketing, and Finance teams to develop and execute on a robust roadmap that aims to arm our business partners with the data, analyses, and insights needed to run the business.
- Partner with the GTM Analytics Manager to create a long-term strategy to evolve the maturity of Stripe’s GTM analytics tools, dashboards, and other data products.
- Encourage a culture of experimentation and innovation in data analytics practices to optimize performance and uncover new insights.
- Develop processes and norms that provide structure and elevate the work within the GTM Analytics team.
- Act as a thought leader in areas of data analysis, manipulation, visualization, and storytelling.
Qualifications
- At least 3 years of people management experience leading teams of 5 or more data analysts, as well as 5+ years of data analytics experience
- Experience building a team, defining its mission, and executing on its goals
- Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field
- Proficiency in SQL
- Experience building and maintaining data pipelines using a distributed data framework (e.g. Hadoop, Spark)
- Experience building self-serve dashboards or other scalable analytical tools for partner teams
- Strong knowledge of statistics
- Expertise in data storytelling and visualization, using data-driven insights to deliver actionable recommendations and drive business goals
- Demonstrated experience of and interest in the public discussion of economic trends (whether as a data scientist, writer, researcher, or in another capacity)
- Demonstrated ability to lead and deliver on multiple projects with a high attention to detail
- Outstanding written and verbal communication skills
Requirements
- Based outside of the Greater NYC, SF, or SEA metro areas
Preferred Qualifications
- Master’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field and/or experience in working on data analytics in the tech field
- Proficiency in Python
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