Responsibilities

• Scale acquisition profitably
• Guide and optimize spend so it scales efficiently under contribution margin guardrails
• Define CAC ceilings tied to 12- and 24-month contribution margin
• Model diminishing returns and marginal efficiency curves to inform budget allocation
• Translate attribution constraints and measurement uncertainty into practical, decision-ready frameworks
• Interpret insights from MMM, incrementality tests, lift studies, or MTA frameworks and translate them into practical budget and investment decisions
• Identify which channels, audiences, creatives, and offers drive the highest-quality cohorts
• Support structured validation of new channels before meaningful scale
• Deliver clear monthly recommendations on where to scale, hold, or cut
• Increase 24-month contribution margin per cohort

Requirements

• Strong track record as a hands-on, high-output analytics operator in growth, marketing analytics, or subscription analytics
• Deep fluency in cohort behavior, retention curves, LTV, payback, and contribution margin economics
• Strong paid media analytics foundation and understanding of attribution limitations
• Advanced SQL and ability to build scalable dashboards (BI proficiency)
• Comfort operating in scrappy environments where some reporting starts in spreadsheets and gets systemized over time
• Strong communication and collaboration skills: you can explain, debate, and align without being rigid or defensive
• Intellectual humility and openness to having assumptions challenged
• Bias toward execution: you ship, iterate, and improve systems continuously
• Exposure to MMM, incrementality testing, lift studies, or MTA frameworks and experience translating those insights into marketing investment decisions
• Experience linking creative and acquisition inputs to downstream cohort quality