Growth Analytics Lead

Role Overview

• 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
• Build and maintain 12
• and 24-month contribution margin tracking by acquisition cohort
• Develop survival curve diagnostics and retention performance visibility across key milestones
• Operationalize retention-adjusted CAC and payback thinking into acquisition decisions
• Identify acquisition sources that degrade churn, payback, LTV, or margin
• Evaluate pricing, discounts, and offers against downstream margin impact
• Create cohort-based forecasting views that improve decision quality without turning this role into FP&A
• Own tracking health across ad platforms, GA4, server-side events, ecommerce, and subscription systems
• Standardize UTMs, taxonomy, and core metric definitions so performance reporting is trusted
• Partner with Finance to align revenue, refunds, COGS, and contribution margin inputs
• Build automated dashboards and reduce manual reporting
• Create a clear source of truth for acquisition efficiency and long-term cohort performance
• Analyze tests and performance shifts across pricing, trial structure, billing cadence, onboarding, churn interventions, win-back, and upsell
• Provide decision criteria rooted in long-term contribution margin, not isolated metric lifts
• Deliver clear narratives on what changed, why it changed, and what to do next

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
• Experience working closely with Finance inputs without turning the role into FP&A

Tech Stack

• SQL

Benefits

• Autonomy with support: real responsibility paired with strong leadership
• Remote-first and flexible: work with trust, autonomy, and accountability
• No politics, just execution: a fast-moving, results-driven culture
• Make your mark: help scale a 9-figure brand entering its next phase of growth
• Kind and people-focused: we communicate openly, collaborate deeply, and support one another
• Growth mindset: we embrace change, never settle, and continuously improve
• Bias for action: we move fast, keep things simple, and innovate without fear