Analyst, Product Analytics

Double Good is a leading fundraising app and best-in-class technology company redefining how youth organizations raise funds for the causes they care about. Teams run short, high-impact fundraisers by selling delicious popcorn through personalized Pop-Up Stores, keeping 50% of every sale. Thousands of schools and teams nationwide use Double Good to raise meaningful funds quickly and easily.

Guided by our mission to create joy, Double Good also supports the Double Good Kids Foundation, a 501(c)(3) organization that exists to spark joy for children with special needs and the people who care for them through inclusive experiences and spaces that foster play, connection, and possibility.

Double Good has been recognized on the Inc. 5000 list 19 times and ranked No. 16 on Crain’s Chicago Business Fast 50 list in 2026, and it continues to grow while staying focused on impact.

In recent years, Double Good has seen 40% year over year growth, and we’re excited about our future! We’re excited about the possibility of you joining our mission. We are looking for a Senior Analyst, Product Analytics to join our Data team.

Location - This role is hybrid and will be onsite 3 days per week from our downtown Chicago location. 

About the role:

Serve as the senior data analyst for Double Good's Product function, bringing rigorous analysis and data evidence to every product decision: measure product and feature changes, size and prioritize opportunities, read experiments, and pinpoint where organizers, sellers, and buyers stall.

Double Good is a fundraising app paired with our own gourmet popcorn kitchens. Youth teams and schools fundraise in a few clicks, we cook and ship directly to supporters, and half of every dollar goes back to the youth organization.

This role expands the Analytics & Insights capabilities of Double Good as the dedicated senior analyst and thought partner to the Product function. It owns the analytical agenda for the product: how each product and feature change performs for organizers, sellers, and buyers, how success is measured, and what ships next. It turns product questions into plans for analysis and discovery and sets the standard for how Product uses data. It is an individual-contributor role partnering daily with Product Managers, Design, and Engineering.

The work splits roughly 20% describe, 65% diagnose, and 15% predict: certified product metrics are kept current and consumed on Mondays; most of the week goes to reading experiments and diagnosing where users stall; the remainder sizes opportunities and forecasts the impact of what ships next. Success is a roadmap ranked on data evidence and experiments read with rigor.

Responsibilities: