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LyftLyft

Data Analyst Intern

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.

About the job

Responsibilities

  • Partner with Operations, Engineering, Data Science & Analytics, Product, Finance, and other stakeholders to manage and update key business logic.
  • Develop frameworks and scalable processes to streamline reporting and support decision-making and prioritization.
  • Define metrics for measuring strategic initiatives and system health; build dashboards to monitor performance over time.
  • Deliver data quickly, reliably, and accurately to city partners.
  • Monitor and diagnose KPI performance and present findings to senior leadership.

Requirements

  • Currently pursuing a bachelor's or master's degree in mathematical sciences, economics, data engineering, or a related field, with graduation between December 2027 and June 2028.
  • Available for a Summer 2027 internship in New York City.
  • Proficient in SQL and quantitative analysis, including analysis of large datasets.
  • Able to translate unstructured business problems into clearly defined requirements with minimal oversight.
  • Strong problem-solving, analytical, communication, attention-to-detail, and structured-thinking skills.
  • Experience developing processes that reduce human error.

Compensation and Benefits

  • Base pay: $45-$47/hour USD.
  • Medical, dental, and vision insurance options.
  • Mental health benefits.
  • Two paid time-off days and three sick-time days for interns, in addition to holidays.
  • 401(k) plan.
  • Pre-tax commuter benefits.
  • Lyft Pink team-member benefits.
  • Hybrid schedule with three in-office days per week: Monday, Wednesday, and Thursday.

Skills

SQL, Quantitative Analysis, Data Analysis, Data Visualization, Dashboarding, Kpi Analysis, Business Intelligence, Process Development

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