Manager, Marketing Analytics

at Stripe

📍 Toronto, Canada

CAD 180,000-270,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Communication @ 6 Data Analysis Data Pipelines @ 4 Data Science Hadoop @ 4 Marketing @ 4 Mathematics @ 6 SQL @ 6 Spark @ 4 Statistics @ 7

Details

Stripe is a financial infrastructure platform for businesses. The Marketing Analytics team helps Marketing understand its impact on Stripe and invest in the right opportunities through trusted measurement, actionable guidance, and strategic partnership. The team is part of Stripe's broader Data Science organization, which includes analysts, data scientists, and engineers.

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.
Manage and motivate a team of analysts while helping them develop 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 work quality, and enable effective collaboration across Stripe.
Provide thought leadership in agentic automation, data analysis, data manipulation, visualization, and storytelling.
Enable informed investment decisions across the customer journey, from lead generation and acquisition through engagement and retention.

Requirements

8+ years of data analytics experience, including 3+ years directly managing Data Analytics or Marketing Analytics teams.
Experience building a team, defining its mission, and executing on its goals.
A Bachelor's, Master's, or Doctoral Degree.
Proven cross-functional collaboration experience and strong analytical skills for navigating complex decisions and trade-offs.
Proficiency in SQL.
Experience building and maintaining data pipelines using a distributed data framework such as Hadoop or Spark.
Experience building self-service 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 multiple projects with strong 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

An advanced degree in Statistics, Economics, Mathematics, Engineering, Sciences, or a related quantitative field.
Experience working on data analytics in the technology field.