Responsibilities

• Own marketing's source of truth dashboards: CAC vs. goal by product and channel, ecommerce funnel and conversion (including PDP and checkout drop off), lifecycle and retention, daily and weekly pacing
• Measure paid media performance across every channel, Meta, Google, Amazon, TV, podcast, influencer, tracking spend efficiency, ROAS, and channel level contribution to growth
• Design and run incrementality tests, geo holdouts, PSA tests, conversion lift studies, to determine the true causal impact of media spend
• Build and maintain our media mix model to inform budget allocation, and continuously improve measurement methodology as the channel mix evolves
• Own lifecycle and retention measurement, including segmentation, cohort analysis, and email/SMS holdout testing
• Own Amazon and marketplace analytics alongside DTC (traffic, conversion, CAC by SKU and product line) so performance is measured consistently across channels
• Partner with Growth and Product on experimentation: design, sample size and power calculations, instrumentation, and results readouts
• Partner with Finance on spend forecasting, budget pacing, and tying media performance to membership economics and broader P&L
• Turn analysis into clear recommendations for marketing and execs, flagging anomalies or opportunities before anyone has to ask

Requirements

• 5+ years in marketing analytics, media analytics, growth analytics, or a related quantitative role, with exposure to both paid social and paid search
• Strong SQL and real comfort working with large, messy datasets. This is non-negotiable
• Hands-on experience with a modern cloud warehouse (Databricks, Snowflake, Redshift) and a BI/dashboarding tool
• Experience with causal inference methods, incrementality tests, media mix models, geo experiments, synthetic control, or clear aptitude for them
• Working knowledge of Meta Ads Manager and Google Ads/Google Analytics
• A skeptical, first-principles approach to measurement and the confidence to challenge platform-reported metrics when the data doesn't hold up
• Excellent communication skills. You can explain a number or a statistical trade-off clearly to non-technical stakeholders and execs
• Comfortable being the go-to person for both quick-turnaround requests and long-running projects.
• There's no separate analyst to hand routine reporting to
• Experience with attribution/incrementality vendors like Northbeam or Haus, and the judgment to reconcile vendor numbers against warehouse truth

Preferred

• Python or R for statistical analysis is a plus

Benefits

• Time to Recharge: Enjoy flexible PTO to take the breaks you need.
• Top-Notch Health Coverage: We’ve got your back (and teeth and eyes) with full medical, dental, and vision insurance.
• Wellness Perks: Free access to One Medical, Kindbody, and Talkspace to keep you feeling your best.
• Dog-Friendly Office: Bring your pup to work — they’re part of the team, too.
• Give Back to the Pups: Make tails wag with a $500 annual donation to a dog charity of your choice through our BarkBack Program.
• Free Fi Membership: Your furry best friend(s) get all the benefits of a Fi collar, on us!
• Love for Friends + Family: Share the Fi magic with loved ones through our gifting program.