Data Analyst
Podsumowanie roli od JobGrid
Data Analyst at fitt: Los Angeles, Stany Zjednoczone; Na miejscu; Średni poziom; IT; Analityka. This listing is part of JobGrid's Oferty pracy dla data analystów z publicznych stron firm. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Los Angeles, Stany Zjednoczone, Na miejscu
- Role classification: IT, Analityka, Średni poziom
- Source freshness: checked by JobGrid on 2026-06-10.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Fitt Talent Partners is a specialized recruitment firm working with top health and wellness companies.
We’re filling this role for a client, a leading consumer Health & Wellness Platform — that has existing partnerships with Eight Sleep, WHOOP, Momentous, Peloton, and other top brands.
Job Description
Our GTM and Operations teams rely on rigorous, timely analysis to move fast and make confident decisions — this role is the engine behind that capability. You sit at the intersection of data and decision-making, transforming raw inputs into the dashboards, models, and analyses that keep the business moving.
By driving KPI clarity and enabling self-serve analytics, you reduce friction across the organization and free teams to act on insight rather than hunt for it.
Responsibilities
Build and maintain dashboards that give leadership a real-time view of the business: revenue, merchant performance, transaction volume, and customer metrics.
Deliver ad hoc analyses for GTM and Operations teams, translating business questions into clear findings and recommendations.
Design and maintain datasets and models that empower business teams to self-serve.
Use AI tools to move faster, automate repetitive analysis, and focus time on the work that drives the most impact.
Qualifications
3–5+ years of experience in an analytics-focused role.
Strong SQL skills: you can independently query, validate, and explore data without engineer support.
Strong proficiency with at least one BI tool — Omni, Looker, Metabase, Tableau, or similar — and a track record of building dashboards from scratch that teams use to drive decisions.
Familiarity with dbt and modern data stack concepts sufficient to collaborate with data and engineering teams.