At Lyft, our purpose is to serve and connect by cultivating a work environment where all team members belong and have the opportunity to thrive, specifically in the context of bikeshare operations and city transportation goals
Requirements
- Proficient in SQL (required) and quantitative analysis
- Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
- Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems
- Currently pursuing a Bachelors or Masters degree in mathematical sciences (Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field
Responsibilities
- Partner with Operations, Engineering, Data Science & Analytics, Product, Finance and other cross-functional stakeholders to manage and update key business logic
- Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization
- Define the metrics used to measure the success of strategic initiatives and system health; build dashboards to monitor metrics performance over time
- Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners
- Monitor and diagnose KPI performance and present findings to senior leadership
Other
- Available during Summer 2026 for an internship in New York City
- Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
- Strong attention to detail, structured thinking and experiences developing processes to reduce human error
- Currently pursuing a Bachelors or Masters degree with a graduation date between December 2026 and June 2027 (required)
- Working in the office at least 3 days per week is considered an essential function of this hybrid role
