Senior 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 18 times and ranked No. 13 on Crains 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 were excited about our future! Were 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 Goods 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:

• 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.

Experience & Skills we value:

• 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.
• Bachelors degree in statistics economics mathematics computer science or a related quantitative field or equivalent experience.

Nice to have and/or youll learn:

• 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 Python or R with a statistical foundation in hypothesis testing and funnel and cohort analysis.
• Causal inference beyond A/B testing (difference-in-differences synthetic control uplift modeling).
• Mobile app analytics including app-store push and in-app messaging data.
• Time-series forecasting of product metrics.
• Prior hands-on dbt or LookML development; Git-based workflows.
• Pairing quantitative analysis with qualitative research (user interviews support feedback) to explain the why.
• Use of AI and LLM tools to accelerate analysis and summarize findings.

Equal Pay Disclosure(s):

Were on a mission to create more joy in peoples lives and that includes our internal employees. We create a place people love to be a part of where people can discover and practice their unique skill sets a place where they can contribute and do their best work. We do this by offering our employees a competitive compensation & benefits plan.

Base Pay range for this position:

• $80000 - $115000 annually
• Target Annual Bonus: 10% of base salary

The final discretionary compensation that will be offered for this role depends on a variety of factors including job-related knowledge skills experience and market location.

Work Authorization Requirement:

This position requires current authorization to work in the United States. We do not provide visa sponsorship including support for F-1 Optional Practical Training (OPT) STEM OPT extensions or other temporary work authorization programs.

Benefits:

• Double Good offers competitive benefits for all eligible full time employees including medical dental and vision coverage with plans that can fit each teammates needs. We offer immediate vesting in our 401k plan paid time off company-paid leaves and other perks including a Popcorn Allowance (yup free popcorn!).
• Visit the Careers page on our website for more information at Good is an Equal Opportunity and Affirmative Action employer working in compliance with both federal and state laws. We are committed to the concept of Equal Employment opportunity. Qualified candidates will be considered for employment regardless of race color religion age sex national origin marital status medical condition or disability. The EEO is the law and is available here. Right to Work Statement (English and Spanish).

  Use of Artificial Intelligence in Hiring. Double Good uses Artificial Intelligence tools to help recruiters review and summarize candidates resumes and qualifications for positions where this notice appears. These tools process information contained in application materials and may assist with candidate evaluation. Double Good personnel make all selection and hiring decisions. To request a reasonable accommodation in the application or hiring process contact

  This employer participates in EVerify. The employer will provide the Social Security Administration (SSA) and if necessary the Department of Homeland Security (DHS) with information from each new employees Form I9 to confirm work authorization.