Senior Analyst, Marketing Science Chicago

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 18 times and ranked No. 13 on Crain’s Chicago Business Fast 50 list in 2025, 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, Marketing Science to join our Data team.

Location - This is a hybrid role based in our downtown Chicago office, with three days per week onsite.

Serve as the senior marketing data analyst for Double Good's Marketing function: diagnose what drives organizer acquisition, retention, and marketing return, and provide channel, segmentation, and lifecycle analysis to support decisions Marketing acts on.

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 for the Marketing function, bringing reporting, analysis, and advanced analytics to how Double Good acquires and keeps organizers. It partners daily with Marketing leaders and owns one cohesive, actionable view of marketing performance.

The work splits roughly 10% describe, 70% diagnose, and 20% predict: channel reporting is certified and consumed on Mondays; most of the week goes to answering specific Marketing questions through deep dive analysis; and the remainder builds toward churn and lookalike-organizer models.

• Own channel reporting and analysis: performance by youth activity, channel, campaign, and cohort, with certified Looker reporting as the baseline and analysis of what moved and why.
• Build organizer, seller, and buyer segmentation: behavioral and value-based segments that Marketing uses to target, message, and forecast.
• Lead acquisition, retention, and lifecycle analysis: funnel conversion, repeat and referral behavior, and churn drivers, delivered with Marketing on a biweekly cadence.
• Measure marketing spend: channel efficiency, incrementality, and payback (CAC, LTV, ROAS) that inform budget allocation.
• Map the customer journey and market development: organizer paths from first touch to repeat fundraiser, and market penetration by geography, youth activity type, and segment.
• Build toward predictive: churn scoring and lookalike-organizer models with Data Science, and a learning agenda of experiments (A/B, holdout, geo) with Marketing and Product.
• Deliver recommendations, not just reports: translate business questions into data problems and answers into clear, actionable plans for Marketing leadership.

• 4+ years in marketing analytics, growth analytics, or marketing science with demonstrated impact on acquisition and retention outcomes.
• Expert SQL on a modern cloud data warehouse (Snowflake preferred); working knowledge of dbt.
• Proficiency in…