Product Analytics Lead

Hi, We’re Franki

Franki is an AI-powered startup transforming how people discover and choose the next place they’ll eat, drink and play. Our platform curates video-powered recommendations provided by a vibrant community of content creators and foodies who are passionate about sharing the best their city has to offer.

At Franki, we offer a dynamic and entrepreneurial work environment with tremendous opportunities for growth. As part of our team, you will be on the ground floor of a high-growth startup that is building the future of how people will find places and experiences that create meaningful connections.

About the Role

Franki’s seeking a Product Analytics lead to own the end-to-end measurement engine for Franki’s rewards ecosystem. You will build source-of-truth dashboards and metric definitions, design and analyze A/B/holdout experiments, and translate insights into clear guardrails and roadmap decisions across cashback, Adventures/Gigs, and action-based rewards. Responsibilities include cohort and funnel analyses, targeting and timing logic to drive repeats at the lowest cost, instrumentation and data quality oversight, anomaly alerting, and integrity monitoring (fraud/abuse, partner attribution). You’ll publish decision-ready weekly and monthly readouts and partner closely with Product, Data Engineering, Finance, BD, and Trust & Safety.

Note: Candidates residing in our preferred locations; CA will be given first consideration.

What you’ll do:

Rewards Performance Analytics

• Build the source-of-truth dashboards for TPV, D7/D30 repeat, time-to-2nd purchase, cost % of TPV, LTV and ROI by cohort & merchant.

• Diagnose funnel leaks across onboarding, activation, and reward redemption; quantify impact and recommend fixes.

• Model cost curves for cashback vs. 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.

Budget Ownership, Liability & Forecasting

• 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.

Experimentation & Causal Measurement

• Design/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.

Risk & Integrity Analytics

• Define abuse/fraud heuristics (velocity, collusion patterns); partner with Trust & Safety on mitigations.

• Monitor partner attribution (new vs. repeat) and CPA integrity for external programs.

You’re a good fit if you have...

• 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.

• Experimentation design (A/B, CUPED, geo experiments), power analysis, uplift modeling.

• Big Data & BI: Hands-on experience with BigQuery and large-scale datasets; building efficient queries, pipelines, and dashboards in Looker.

• Experimentation Platforms: Familiarity with modern experimentation and feature-flagging platforms (Eppo, Statsig, LaunchDarkly).

• Strong product sense; ability to translate insights into ideas for the product team.

Bonus points if you have...

• Comfortable in a fast-paced startup; able to manage multiple experiments simultaneously.

• Excellent written storytelling; exec-ready visuals and concise recommendations.

• Ability to collaborate with cross-time zone teams

Perks & Benefits

• Remote work: Our team works remotely across the US but primarily PST time zone; we travel together several times a year for company kick-offs and mid-year meetings.

• PTO: 15 days per year, plus additional PTO between Christmas and the end of the year (25th Dec - 31st Dec). Additionally, we recognize 11 public holidays per year.

• Medical, dental & vision: We cover 100% of Medical, Vision, and Dental insurance costs for employees

• 401K

• Equipment: Computer & technology equipment applicable to your role.

• Monthly Stipend: $40 towards home office expenses

Statement of Equal Opportunity

At Franki, we value diversity in backgrounds and perspectives and depend on it to drive community and our innovative culture. That’s why we’re a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you’re always welcome at Franki