Primary record

Marketing Analytics Senior Associate

Faire Indexed employerNew York City, NY; San Francisco, CA · New York, New York, United States · San Francisco, California, United States
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Workplace

hybrid

Employment

Other

Published

Aug 11, 2026

Closes

No date supplied

The role

About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role

We’re looking for a stellar marketing data analyst to use data to drive growth strategies and maximize ROI of growth channels across Faire. This person will serve as a key partner to strategic finance & marketing managers, owning things like marketing payback framework, planning and forecasting, lifecycle experimentation, marketing channel analyses, A/B testing and attribution over time. Specifically, this individual will work on brand and retailer marketing analytics using attribution, A/B testing, and strategic analysis to either uncover opportunity areas for growth for marketing or to increase efficiency.

What you’ll do

• Be an expert on Marketing Attribution. Manage attribution and data ETLs and partner across the org to ensure appropriate tracking of any new marketing initiatives

• Conduct analysis on attribution and generate proposals on how attribution could be improved (scalars, MTA etc.)

• Design and measure experiments focused on driving user

Requirements

Department: Strategy & Analytics