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.

Requirements

• 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.

Preferred

• 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.

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.