Data Analyst Intern

Lyft

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Employment: Intern
Posted: 4 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $138k

$80k most similar roles pay here $186k

This listing doesn't post a salary. Most similar roles pay $101,500–$174,960.

Based on 240 similar postings.

Employer

About Lyft

Lyft is a transportation network company offering ride-hailing services across the US and Canada.

Lyft currently has 22 open roles on FindRole.

Listed pay typically runs $140,800–$176,000 across 16 roles with salary data.

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At a glance

TL;DR · Data Analyst Intern

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As a Data Analyst Intern (Summer 2027) on the Urban Solutions team, you will play a key role in shaping the future of bikeshare by leveraging data to meet operational needs and city partner goals. You will collaborate with Operations, Science, Finance, and Engineering teams to develop scalable processes for reporting, define success metrics for strategic initiatives, and build dashboards to monitor system health. Your daily work involves translating unstructured business problems into defined requirements, monitoring KPI performance, and delivering accurate data to city partners regarding fleet management, pricing, and rider accessibility. To succeed in this role, you must be proficient in SQL and quantitative analysis while demonstrating strong problem-solving skills and the ability to communicate complex findings to senior leadership. This position addresses critical challenges in urban mobility and bikesharing infrastructure.

What does a Data Analyst earn?

Median $128725 from 34 postings across 18 companies.

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Skills

SQL Quantitative Analysis Reporting Dashboards Data Engineering Operations Research Statistics Econometrics

What you'll do

Manage and update key business logic in partnership with cross-functional stakeholders.
Develop scalable frameworks and processes to streamline reporting and decision-making.
Define success metrics for strategic initiatives and system health.
Build dashboards to monitor metric performance over time.
Deliver accurate data and insights to city partners.
Monitor and diagnose KPI performance for senior leadership review.
Translate unstructured business problems into clearly defined technical requirements.

What we're looking for

Must be pursuing a Bachelor's or Master's degree in a quantitative field like Computer Science, Statistics, Economics, or Engineering.
Graduation date must fall between December 2027 and June 2028.
Must be available for an internship in New York City during Summer 2027.
Proficiency in SQL is required.
Ability to perform quantitative analysis to derive insights from large datasets and solve business problems.
Strong communication skills to present findings and recommendations to various audiences.
Ability to translate unstructured business problems into clearly defined requirements with minimal oversight.
Strong attention to detail, structured thinking, and experience developing processes to reduce human error.

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