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Lead Marketing Analyst

Fi Smart Dog Collar

Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer

Posted: 29 August 2026 (30+ days ago)

Application Deadline: 26 November 2026

Vacancies: 1 Vacancy

Department:

Marketing

Job Summary

Welcome to Fi.

Were a passionate team from Square Google Oura Peloton Uber and more working to transform the human-pet relationship. Our mission Develop cutting-edge technology to revolutionize what it means to be a pet parent. The pet industry remains firmly stuck in the past and we are here to change that. Fi is leveraging our teams talent and expertise to improve the lives of millions of pets in the U.S. Real-time location tracking activity sleep and behavior monitoring and thats just the beginning.

The most exciting aspect of our work Bridging the communication gap between pets and humans. Imagine a world where everyone knows how their pet feels in real time and how to keep their best friend in good shape. Thats the future were building at Fi.

If youre someone who thrives in innovative collaborative work environments and feels strongly about helping pets live longer better lives Fi could be the perfect fit. Join us in our pursuit of the impossible or as we call it here let me find a way to redefine the future of pet ownership together.

Fi is looking for a Lead Marketing Analyst!

Fi is looking for a Lead Marketing Analyst to take ownership over our entire marketings analytical stack from the daily numbers the team runs on to the measurement work that decides where the budget goes next. Youll be the first call for what happened and the person who answers the harder why and what if. Youll build on the data teams shared warehouse models and definitions so marketing reporting reconciles to a single source of truth.

What Youll Do:

Own marketings 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

What Youll Bring:

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 doesnt 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.
Theres no separate analyst to hand routine reporting to
Python or R for statistical analysis is a plus
Experience with attribution/incrementality vendors like Northbeam or Haus and the judgment to reconcile vendor numbers against warehouse truth
A subscription or DTC hardware background with an understanding of membership economics alongside first-order revenue

Why Youll Love Us:

Time to Recharge: Enjoy flexible PTO to take the breaks you need.
Top-Notch Health Coverage: Weve 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 theyre 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.

The anticipated base salary range for this position is $150000$350000. Actual compensation will vary based on multiple factors including skills experience market conditions and role scope which may evolve during the hiring process. As a fast-growing Series B startup Fi evaluates compensation opportunistically to align with the right candidate. This role is also eligible for equity compensation.

Fi is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race color sex religion sexual orientation national origin disability genetic information pregnancy or any other protected characteristic as outlined by federal state or local laws. This policy applies to all employment practices within our organization including hiring promotion termination layoff recall leave of absence compensation benefits training and apprenticeship. Fi makes hiring decisions based solely on qualifications merit and our needs at the time.

Required Experience:

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