Note: The job is a remote job and is open to candidates in USA. Franki is a company that helps people discover great restaurants and earn cash back. They are seeking a Manager, Product & Marketing Analytics to build and scale the measurement engine behind their growth, leading analytics across product, marketing, and rewards to optimize performance and decision-making.
Responsibilities
- Lead the end-to-end analytics program across product, marketing, and rewards, setting the measurement strategy and operating model for the company
- Build and maintain source-of-truth dashboards, core metrics, and instrumentation standards in partnership with Data Engineering
- Run robust experimentation at scale—A/B tests, geo/holdouts, matched markets—and drive causal measurement using CUPED, uplift modeling, and other advanced methods
- Own funnel, cohort, retention, and rewards analytics (cashback, Adventures/Gigs, action incentives); identify leaks, quantify opportunities, and propose optimized reward structures
- Stand up omnichannel marketing measurement across lifecycle, partners/affiliates, paid social/search, and influencers; lead incrementality and attribution frameworks
- Develop LTV, payback, forecasting, and rewards economics models to guide roadmap, budget allocation, portfolio mix, and CAC/LTV guardrails
- Publish weekly and monthly executive readouts with decision-ready insights; influence prioritization, staffing, and budget decisions
- Ensure data quality and integrity through tracking requirements, validation, anomaly detection, and fraud/abuse monitoring (velocity, collusion, partner attribution, CPA integrity)
- Build self-serve semantic layers and Looker dashboards that enable teams to independently answer key questions
Skills
- BS/BA in a quantitative field (Statistics, Economics, Computer Science, Engineering, Data Science) or equivalent; MS a plus
- 3+ years in product, growth, or marketing analytics, incentives/loyalty analytics, or data science, with 1+ years in a lead or ownership role
- Advanced SQL and Python (pandas, statsmodels, causal inference); experience building scalable dashboards and pipelines in BigQuery and Looker
- Expertise in experimentation design: A/B tests, CUPED, geo/holdouts, power analysis, uplift modeling; familiarity with experimentation platforms like Eppo, Statsig, or LaunchDarkly
- Strong analytics and modeling skills: LTV, propensity, churn/survival, MMM, budget/payout optimization, and causal inference methods
- Product and marketing analytics experience: funnels, retention, cohorting, lifecycle measurement, attribution, channel mix/ROAS, and audience targeting
- Strong product sense with the ability to translate complex data insights into clear, actionable recommendations that drive product and growth decisions
- Comfortable operating at both altitude (strategy, exec forums) and depth (hands‑on SQL/Python)
- Excellent written storytelling; exec‑ready visuals and clear recommendations
- Ability to manage multiple high‑stakes initiatives simultaneously; thrive in a fast‑paced startup
- Collaborate effectively across time zones
Benefits
- Competitive compensation and 100% covered healthcare, dental, and vision benefits for employees
- 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.
- 401(k)
- Equipment: Computer & technology equipment applicable to your role.
- Monthly Stipend: $20 (Tax-free) to cover home office expenses
Company Overview
Company H1B Sponsorship