Product Analytics Lead, Loyalty & Incentives

About the Role

Key Responsibilities

• Build source-of-truth dashboards for metrics such as TPV, D7/D30 repeat, time-to-2nd purchase, cost % of TPV, LTV, and ROI by cohort and merchant.
• Diagnose funnel leaks across onboarding, activation, and reward redemption; quantify impact and recommend fixes.
• Model cost curves for cashback versus points/miles; recommend mixes that reduce cost while maintaining retention.
• Define and maintain metric definitions and data quality SLAs with Data Engineering.
• Set annual/quarterly reward budgets and guardrails (cost as % of TPV) by segment and merchant tier.
• Propose tiers, streaks, and payout schedules for Adventures/Gigs and action rewards; align to target repeat behavior.
• Build redemption, breakage, and outstanding liability forecasts; reconcile with Finance (accruals, revenue recognition, P&L impact).
• Stress test scenarios (seasonality, promos, partner changes) and maintain forecast error targets.
• Publish a monthly Rewards P&L with variance analysis and corrective actions.
• Design and run A/B tests and holdouts for streaks, tiers, cashback caps, and gig payouts; ensure power and clean launches.
• Apply CUPED/uplift models and geo-splits to estimate incrementality; publish decision-ready readouts.
• Create an experiment backlog with hypotheses, expected lift, cost, and success criteria.
• Define abuse/fraud heuristics and partner with Trust & Safety on mitigations.
• Monitor partner attribution and CPA integrity for external programs.

Requirements

• BS/BA in a quantitative field (Statistics, Economics, Computer Science, Engineering, Data Science) or equivalent.
• MS a plus.
• 3+ years in product/growth analytics, incentives/loyalty analytics, travel loyalty, or data science, with 1+ years in a lead/ownership role.
• Advanced SQL and Python (pandas, statsmodels/causal inference); cohorting and retention analytics.
• Experience with experimentation design (A/B, CUPED, geo experiments), power analysis, uplift modeling.
• Hands-on experience with BigQuery and large-scale datasets; building dashboards in Looker.
• Familiarity with modern experimentation platforms (Eppo, Statsig, LaunchDarkly).
• Strong product sense; ability to translate insights into product ideas.

Nice to Have

• Comfortable in a fast-paced startup environment; able to manage multiple experiments simultaneously.
• Excellent written storytelling; ability to create exec-ready visuals and concise recommendations.
• Ability to collaborate with cross-time zone teams.

Qualifications

• Bachelor's degree in a quantitative field or equivalent.
• Master's degree is a plus.

Benefits & Perks

• Remote work across the US, primarily PST time zone, with travel for company events.
• 15 days PTO per year, plus additional PTO during Christmas week.
• 11 public holidays per year.
• 100% coverage of Medical, Dental, and Vision insurance costs.
• 401K retirement plan.
• Equipment provided for your role.
• Monthly stipend of $40 for home office expenses.