ABOUT STITCH FIX, INC.

Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client’s individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco.

Stitch Fix is searching for a unique individual for the Manager, People Insights & Analytics role. This role requires a blend of expertise in people analytics, team development, employee listening, and people data management. The successful candidate will be highly strategic, yet hands-on - a real “player-coach” who is also expected to roll up their sleeves. This role will create and execute an integrated people insights and analytics roadmap that enhances a data-based decision making, improves reliability and trust, and advances Stitch Fix’s organizational health metrics and insight generation. These initiatives support the company’s movement toward driving a “high-impact culture.”
Reporting into the VP of Total Rewards, People Insights and Analytics, a critical expectation for this role is bringing HR reporting and analytics to the next level. The successful candidate will be adept at HR metrics and dashboarding best practices, while bringing a strong cross-functional and collaborative skill-set. They will work closely with our Engineering, IT, and HRIS teams to ensure alignment within and outside of HR. The ideal candidate is also forward-looking and has a good understanding of new and existing analytics tools and applications. They are proficient in SQL, DBT, Redshift, Python, Looker or other BI tools, and they see the possibilities that Artificial Intelligence can bring to HR data analysis and decision-making.