Description
Job Overview
As Manager of the Marketing Analytics team at Stripe, you will lead and develop a high-performing team of analysts that delivers rigorous analysis, strategic guidance, and trusted data products to Marketing leaders.
Responsibilities
- Develop and drive a roadmap that equips business partners with the data, analyses, and insights needed to articulate Marketing's impact on the business.
- Act as a player-coach to manage and motivate a team of analysts, partnering with them to go deep in developing expertise in Stripe's business and Marketing data.
- Create a long-term strategy to improve the team's data and measurement capabilities for use by people and artificial intelligence agents.
- Develop and lead processes and team norms that provide structure, elevate the quality of the team's work, and enable Marketing Analytics to collaborate effectively across Stripe.
- Act as a thought leader in areas of agentic automation, data analysis, manipulation, visualization, and storytelling.
Requirements
- 8+ years of data analytics experience, including 3+ years directly managing Data Analytics or Marketing Analytics teams, and experience building a team, defining its mission, and executing on its goals.
- A Bachelor's, Master's, or Doctoral Degree.
- Proven track record of cross-functional collaboration, with strong analytical skills to navigate complex decisions and navigate trade-offs.
- 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 ability to lead and deliver on multiple projects with a high attention to detail.
- Outstanding written and verbal communication skills.
- Experience partnering with Marketing or Sales teams to design and implement measurement frameworks that inform investment planning, channel attribution, and success metrics for new strategies.
Preferred Qualifications
- Advanced degree in Statistics, Economics, Mathematics, Engineering, Sciences, or a related quantitative field and/or experience in working on data analytics in the tech field.