Data Analyst Intern (Summer 2027)

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p> <p>Data and analytics are at the heart of Lyft’s products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bikeshare by leveraging data to operational needs and city partners.</p> <p>In this role, you will collaborate closely with Operations, Science, and Finance teams to drive data-driven strategies that align our operations with city transportation goals. You will work in a fast-paced environment where analytical insights directly impact fleet management, operator performance, pricing, rider accessibility, and long-term investments in bikesharing infrastructure.</p> <p>We’re looking for a passionate and driven Data Analyst Intern to tackle some of the most complex and impactful challenges in bikesharing. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you.</p> <h2><strong>Responsibilities:</strong></h2> <ul> <li>Partner with Operations, Engineering, Data Science &amp; Analytics, Product, Finance and other cross-functional stakeholders to manage and update key business logic&nbsp;</li> <li>Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization</li> <li>Define the metrics used to measure the success of strategic initiatives and system health; build dashboards to monitor metrics performance over time</li> <li>Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners</li> <li>Monitor and diagnose KPI performance and present findings to senior leadership</li> </ul> <h2><strong>Experience:</strong></h2> <ul> <li>Currently pursuing a <strong>Bachelors or Masters degree</strong> 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; with a <strong>graduation date between December 2027 and June 2028 (required)</strong></li> <li>Available during <strong>Summer 2027</strong>&nbsp;for an internship in New York City</li> <li>Proficient in <strong>SQL (required)</strong> and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions</li> <li>Ability to translate unstructured business problems into clearly defined requirements with minimal oversight</li> <li>Strong problem-solving and ana