Data Analyst - Economic Insights & Communications

About the role

Stripe is a financial infrastructure platform for businesses. The Data Analyst, Economic Insights & Communication role focuses on constructing and analyzing data to demonstrate how Stripe enables broad and often surprising economic growth.

Responsibilities

• Partner with the Communications teams to imagine, scope, and lead research projects that bring to life different facets of Stripe’s economic impact
• Publish findings both internally and externally
• Generate hypotheses, rapidly test them against Stripe data, and proactively share the most interesting nuggets
• Design, implement and maintain data pipelines and dashboards to generate insights from Stripe internal and external public data sources
• Define and monitor key economic impact metrics
• Go deep on understanding business drivers, user segments, cohorts and macroeconomic trends
• Partner closely with Communications teams to identify and analyze key trends and produce social posts, blogs, reports, briefings and campaign content leveraging Stripe data

What you'll do

This person will bridge Economic Insights and how we Communicate them with the broader public. Stripe has a unique view of the world, with real-time insight into changing trends, industries, and cross-border commerce. The Data Analyst, Economic Insights & Communication role will focus on constructing and analyzing data, built upon robust data pipelines and a strong data architecture, to demonstrate how Stripe enables broad and often surprising economic growth.

About The Team

We’re looking for an experienced data analyst to deepen understanding around the economic impact Stripe is having globally. You will be part of a community of analysts and data scientists on the Go-to-Market Analytics team, and you will partner with Stripe’s Communications teams to build and protect Stripe’s brand and influence across the world.

Minimum Requirements

• 3+ years of experience in analytical roles working with large datasets
• Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field
• Proficiency in SQL and Python and experience building and maintaining data pipelines using a distributed data framework
• Experience building self-serve dashboards or other scalable analytical tools for partner teams
• Experience developing data-informed narratives and visualizations for external publication

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
• Familiarity with survey design and analysis

Pay and benefits

The annual US base salary range for this role is $161,600 - $242,400. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location.

Hybrid work at Stripe

Hybrid work at Stripe allows employees to choose between working in an office or remotely, with the expectation of spending at least 50% of the time in a given month in their local office or with users. This balance supports both in-person collaboration and flexibility for individual teams.