Latest Data Analytics jobs at Lyft

Analyzes bikeshare operations and performance data, develops reporting frameworks and dashboards, and presents actionable insights to cross-functional partners and leadership. Requires SQL proficiency, quantitative analysis, strong problem-solving skills, and current enrollment in a relevant bachelor’s or master’s program.

Investigates fraud, analyzes emerging patterns and false positives, and develops operational and analytical controls to reduce financial and reputational risk. The role requires a bachelor's degree, 1–2 years of fraud or risk monitoring experience, strong analytical judgment, and basic SQL knowledge.

Lead analytics for Lyft’s airport marketplace by conducting product and business deep dives, defining health metrics, building dashboards and models, and influencing pricing, supply, and product decisions. Requires 4+ years of strategic analytics or data science experience, strong SQL, quantitative analysis, and cross-functional communication.

Builds production data assets, analytics, and sales insights for Lyft Business’s B2B revenue organization. The role partners with Sales and account teams, defines trusted metrics, and communicates actionable findings to technical and executive stakeholders.

The Analytics Lead will analyze customer-support data, define performance metrics, design experiments, and deliver recommendations that improve the support experience. The role requires quantitative education, at least two years of analytical or data-science experience, and strong SQL and Python skills.

Leads high-stakes financial and compliance reporting, building scalable workflows, documentation, and automation while managing stakeholders and mentoring junior analysts. Requires a bachelor’s degree, 5+ years of relevant experience, advanced SQL, and experience with BI tools such as Tableau.

Analyzes people and recruiting data, responds to stakeholder requests, and builds ThoughtSpot dashboards and AI-assisted insights. The role requires strong SQL, modern BI, survey administration, and experience working with HCM and people data.

Analyzes marketplace trends, financial levers, and driver earnings products to produce reporting, strategic recommendations, and product improvements. The role requires 1–3 years of data or financial analytics experience, strong SQL and quantitative skills, and excellent communication.

Leads market insights analysis for Lyft's top regions, identifying marketplace gaps and opportunities using data. Partners cross-functionally to develop and execute business and product strategies. Requires 3+ years in analytics/consulting, SQL proficiency, and strategic thinking.