Lead Supply Chain Analyst

3–6 years of experience in supply chain analytics, demand planning, operations analytics, or a closely related analytical discipline.

Strong SQL skills — you can independently query large, complex datasets and structure analyses from scratch.

Hands-on experience with forecasting or demand planning — you've worked with statistical demand models (e.g., time series, regression-based) and understand how to translate forecast outputs into operational guidance.

Proficiency in Python or R (preferred) for data wrangling, modeling, and workflow automation.

Comfort with BI and visualization tools — Tableau, Looker, Mode, or similar.

Experience with inventory management concepts — safety stock, reorder points, lead times, stockout costs, service levels, and days of supply.

We're looking for a strong analytical thinker to build and own Faire's Supply Chain and Inventory forecasting for the Fulfilled by Faire program from the ground up.

Faire's brands rely on us to be more than a sales channel — we're a business partner.

A core part of that means helping brands stay in-stock, manage their inventory effectively, and never miss a sale.

As the owner of Supply Chain Analytics, you'll sit at the intersection of data, operations, and brand success.

You'll own the translation of our demand forecasting models into concrete, brand-level inventory guidance, monitor the health of brand inventory across the marketplace, and drive meaningful reductions in out-of-stock (OOS) rates that directly influence brands’ sales and success on Faire.

This role is for someone who is equal parts data practitioner and problem-solver — someone who loves getting into the weeds of a complex dataset, and isn't satisfied until the insights they surface actually move the needle for thousands of brands.