Senior Analyst, Marketing Science

Double Good; Chicago (IL); Hybrid; USD 80,000 - 115,000; Full time

Benefits offered by this job

Popcorn Allowance

401k Plan

Medical, Dental, Vision Coverage

Job summary

Double Good is seeking a Senior Analyst, Marketing Science in Chicago to serve as the senior marketing data analyst for the Marketing function. You will diagnose drivers of organizer acquisition, retention, and marketing return, providing channel, segmentation, and lifecycle analysis to support decisions.

You will partner with Marketing leaders, own cohesive views of marketing performance, and help forecast using segmentation and predictive models as part of an analytics-driven growth strategy.

Qualifications

• 4+ years in marketing analytics, growth analytics, or marketing science with 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.

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.

Skills

SQL

Python

R

Looker

dbt

Snowflake

Data analysis

Storytelling

Education

Bachelor's degree in statistics, economics, marketing analytics, mathematics, or a related quantitative field

Tools

Snowflake

dbt

Looker

Job description

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 Aff… 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 [e-mail].

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.