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Data Analyst

Lyft

$90,000 - $112,000
Aug 18, 2025
New York, NY, US
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Lyft is looking to improve the performance of its bikeshare and scooter markets by tracking, diagnosing, and mitigating theft & loss trends.

Requirements

  • Highly skilled in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
  • Ability to develop scalable approaches and produce data visualizations to drive business insights and provide tangible solutions; experience building dashboards for performance analysis is a plus
  • Extreme comfort working with ambiguity. Ability to translate unclear issues or unstructured problems into clearly defined requirements with minimal oversight
  • Strong attention to detail, structured thinking and experiences developing processes to reduce human error
  • Adept at contextualizing real world operations into analytical problem solving

Responsibilities

  • Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders on initiatives to improve operational performance and reduce asset loss
  • Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization
  • Forecast operational requirements needed to maintain high service levels and meet contractual and financial targets
  • Work with local markets to deliver ongoing support and deep dive analyses on performance; monitor and diagnose performance and present findings to key stakeholders
  • Collaborate with cross-functional teammates to tackle complex problems including: theft & loss, asset tracking, Stations

Other

  • 3+ years experience in a consulting, analytics/business intelligence, or related field
  • Bachelor's Degree or equivalent relevant professional experience
  • Strong interpersonal skills, with the ability to build relationships, trust and influence with cross-functional partners
  • Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
  • Passionate about sustainable mobility and active transportation