Senior Analyst, Product Analytics

About the role

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, Product Analytics to join our Data team.

Responsibilities

• Define how product success is measured: adoption, engagement, completion, and conversion metrics, set with Product and certified in Looker with Business Intelligence and Analytics Engineering.
• Size and prioritize opportunities: quantify reach, impact, and confidence so Product Managers rank the roadmap on evidence.
• Own experiment measurement: partner with Product Managers on test design, define success and guardrail metrics, size samples, and deliver the readout with a clear ship, iterate, or stop recommendation; uphold experimentation standards across Product.
• Pinpoint user hurdles: funnel, cohort, path, and segmentation analysis within each product flow, showing where organizers, sellers, and buyers stall, drop, or return.
• Define the measurement spec: specify the events and properties each launch must capture, partner with Engineering to implement, and validate the data before the first readout.
• Measure and forecast product impact: quantify how shipped product and feature changes moved adoption and completion, and estimate the effect of roadmap items on fundraiser success and organizer growth, with Data Science where models add precision.
• Run the product analytics backlog and learning agenda: prioritize by impact on Product metrics and keep exploratory dashboards current so Product Managers self-serve routine questions.
• Deliver recommendations, not just reports: translate product questions into data problems and answers into clear, actionable plans for Product leadership.

Skills

• 4+ years in product analytics for a consumer app or e-commerce product, with a proven record of measuring the impact of product changes and influencing roadmaps.
• Expert SQL on a modern cloud data warehouse (Snowflake preferred); working knowledge of dbt.
• Hands-on experimentation: test design, sample sizing, success and guardrail metrics, and honest readouts.
• Fluency in product-analytics and eventing data (Amplitude, Mixpanel, or Segment) and in Looker or an equivalent BI tool.
• Experience defining, instrumenting, and quality-checking product metrics with Product Managers and Engineers, edge cases included.
• Storytelling with data: clear written and verbal communication with product and executive stakeholders.
• Drives ambiguous projects forward independently.
• Bachelor's degree in statistics, economics, mathematics, computer science, or a related quantitative field, or equivalent experience.
• Experience with a multi-role product (marketplace, creator, or fundraising platform) serving several user types.
• Experience in direct-to-consumer e-commerce or CPG with repeat customer engagement dynamics.
• Proficiency in