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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.
About the role:
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.
Responsibilities:
- 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.
Experience & Skills we value:
- 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 Python or R for segmentation, cohort, and statistical analysis.
- Hands-on marketing measurement: attribution, incrementality, media efficiency, and CAC / LTV / payback, including the limits of each.
- Experiment design and measurement, including sample sizing and reading results honestly.
- Fluency in Looker or an equivalent BI tool and in product-analytics or eventing data.
- Storytelling with data: clear written and verbal communication with marketing and executive stakeholders.
- Drives ambiguous projects forward independently.
- Bachelor's degree in statistics, economics, marketing analytics, mathematics, or a related quantitative field, or equivalent experience.
Nice to have and/or you’ll learn:
- Experience in a direct-to-consumer e-commerce or CPG with repeat customer engagement dynamics.
- Churn, propensity, or lookalike modeling in production, and close partnership with a data science team that shipped one.
- Familiarity with paid media (Meta, Google, TikTok) and lifecycle marketing (Braze, Iterable, Hubspot) data.
- Geo-experiment, marketing-mix modeling, or LTV modeling experience.
- Referral, viral, or community-driven marketing analytics.
- Use of AI and LLM tools to accelerate analysis and summarize findings.
Equal Pay Disclosure(s):
We’re on a mission to create more joy in people’s 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:
- $80,000 - $115,000 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 teammate’s 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 https://www.doublegood.com/careers.
Double 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 [email protected].
This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I‑9 to confirm work authorization.
Skills Required
- 4+ years of experience in marketing analytics, growth analytics, or marketing science with demonstrated acquisition and retention impact
- Expert SQL experience using a modern cloud data warehouse; Snowflake preferred
- Working knowledge of dbt
- Proficiency in Python or R for segmentation, cohort, and statistical analysis
- Hands-on marketing measurement experience, including attribution, incrementality, media efficiency, CAC, LTV, and payback
- Experience designing and measuring experiments, including sample sizing and interpreting results
- Fluency in Looker or an equivalent business intelligence tool and product analytics or eventing data
- Clear written and verbal communication with marketing and executive stakeholders
- Ability to independently drive ambiguous projects forward
- Bachelor's degree in statistics, economics, marketing analytics, mathematics, or a related quantitative field, or equivalent experience
- Experience in direct-to-consumer e-commerce or CPG with repeat customer engagement dynamics
- Production experience with churn, propensity, or lookalike modeling
- Familiarity with paid media data from Meta, Google, or TikTok
- Familiarity with lifecycle marketing data from Braze, Iterable, or HubSpot
- Experience with geo-experiments, marketing-mix modeling, or LTV modeling
- Experience with referral, viral, or community-driven marketing analytics
- Use of AI and LLM tools to accelerate analysis and summarize findings
What We Do
Double Good is a company built on creating joy and helping others. By reimagining product-based virtual fundraising, we help expand organizations' missions by giving back 50% of every dollar sold. We make ultra-premium popcorn sold through our simple-to-use software. We've helped raise over $200 million to support organizations nationwide that tilt the playing field for all kids. Double Good is not a popcorn company nor a digital company. It is a team of makers, designers, and problem-solvers dedicated to simplifying fundraising challenges and enabling communities to thrive. The soul of Double Good lies in the mission of creating and sharing joy. We built our fundraising platform on the idea that connecting with supporters should be simple, approachable, and effective. The funds raised go on to relieve the high costs of education, extra-curricular activities, community engagement, and athletic development. We partner with purposeful organizations to benefit students and athletes facing physical, intellectual, and financial challenges. Our goal is to amplify marginalized voices and push the boundaries of access to academic and athletic activities by contributing experiences, equipment, and educational opportunities to the communities that crave them the most.
Why Work With Us
Double Good strives to create joy for both its customers and employees. We strive to have employees feel supported and like they can grow in the company through professional development, coaching, volunteering, and more. Double Good employees deliver excellence, own it, build relationships, and enjoy the ride.
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