180K–270K CAD / year

Manager, Marketing Analytics

DataHybrid — Toronto, Canada
Published on 2026-11-04
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Lead Stripe’s Marketing Analytics team, providing rigorous analysis, measurement, and strategic guidance to Marketing leaders. Set the team’s roadmap and build scalable data capabilities that inform investment decisions across the customer journey.

About the company

Stripe provides payment infrastructure and financial tools that help businesses accept payments, manage subscriptions, and move money globally. It serves startups through large enterprises with APIs for online and in-person commerce.

The team

Marketing Analytics within Stripe’s Data Science organization.

Stack

SQLHadoopSpark

What you'll do

  • Set the analytics roadmap and deliver data, analysis, and insights on Marketing’s business impact.
  • Manage and coach analysts while building their expertise in Stripe’s business and Marketing data.
  • Develop long-term data and measurement capabilities for both people and AI agents.
  • Establish team processes and norms that improve work quality and cross-functional collaboration.
  • Guide agentic automation, data analysis, visualization, and storytelling.

What we're looking for

  • 8+ years of data analytics experience, including 3+ years managing analytics teams.
  • Bachelor’s degree or higher.
  • Proficiency in SQL and experience building data pipelines with a distributed framework such as Hadoop or Spark.
  • Experience creating self-serve dashboards or scalable analytics tools.
  • Strong statistics, data visualization, and storytelling skills.
  • Experience partnering with Marketing or Sales on measurement frameworks, attribution, and investment planning.
  • Strong cross-functional collaboration, communication, project leadership, and attention to detail.

Nice to have

  • Advanced degree in a quantitative field or experience in data analytics in the tech industry.

Benefits

  • Equity
  • Company bonus
  • Retirement plans
  • Health benefits
  • Wellness stipends
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