Manager, Marketing Analytics

Stripe Toronto, Chicago, Atlanta Posted 2026-11-04This listing's locations Toronto, Chicago, AtlantaDepartment: Data ScienceFree accountGet 3 free job picks each day
A free account gets 3 random job picks daily. This role may not be included. Full access opens this job and every role, with descriptions and direct apply links.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
Marketing Analytics helps Marketing understand their impact on Stripe and invest in the right opportunities by delivering trusted measurement, actionable guidance, and strategic partnership. It is situated within the broader Data Science organization at Stripe, which is home to a diverse team of analysts, data scientists, and engineers that span their focus across Stripe’s business and products.What you’ll do
As Manager of the Marketing Analytics team, you will lead and develop a high-performing team of analysts that delivers rigorous analysis, strategic guidance, and trusted data products to Marketing leaders. You will set the team’s strategy in close partnership with Marketing, translating its most important questions and needs into scalable analytical solutions. As a holistic and solutions-oriented leader, you will continually strengthen how the team operates and help your analysts grow. Your team’s work will enable informed investment decisions across the customer journey, from lead generation and acquisition through engagement and retention.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 agentsDevelop 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.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.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 goalsA Bachelor’s, Master’s, or Doctoral DegreeProven track record of cross-functional collaboration, with strong analytical skills to navigate complex decisions and navigate trade-offsProficiency in SQLExperience 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 teamsStrong knowledge of statisticsExpertise in data storytelling and visualization, using data-driven insights to deliver actionable recommendations and drive business goalsDemonstrated ability to lead and deliver on multiple projects with a high attention to detailOutstanding written and verbal communication skillsExperience 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 in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field and/or experience in working on data analytics in the tech field
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