Data Analyst Intern Summer 2027

Lyft; Boston (MA); Hybrid; USD 62,000 - 65,000; Full time

Benefits offered by this job

Healthcare insurance

Mental health benefits

Paid time off for interns

401(k) plan

Pre-tax commuter benefits

Lyft Pink

Job summary

Lyft is seeking a passionate Data Analyst Intern to shape urban mobility using data. You will collaborate with Operations, Data Science, Finance, and Product teams to drive analytics that influence fleet management, pricing, rider accessibility, and bikeshare investments.

The role is based in New York City with a hybrid in-office schedule. Ideal candidates are pursuing a Bachelor’s or Master’s degree with graduation between December 2027 and June 2028, proficient in SQL, and capable of

Qualifications

• Currently pursuing a Bachelor's or Master's degree in mathematical sciences, economics, data engineering, or related field; graduation between Dec 2027 and Jun 2028.
• Proficient in SQL and quantitative analysis; able to dive into large datasets and draw actionable conclusions.
• Strong communication and ability to translate business problems into clear requirements.

Responsibilities

• Partner with cross-functional teams to manage and update key business logic.
• Develop frameworks and scalable processes to streamline reporting and drive decision-making.
• Define metrics to measure success of initiatives and build dashboards to monitor performance.
• Deliver data quickly, reliably, and accurately to city partners.
• Monitor KPI performance and present findings to senior leadership.

Skills

SQL

Data analysis

Problem-solving

Education

Bachelor's or Master's degree

Job description

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.

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.

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.

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.

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

Experience:

• 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; with a graduation date between December 2027 and June 2028 (required)
• Available during Summer 2027 for an internship in New York City
• Proficient in SQL (required) and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
• 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
• 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

Benefits:

_ _

• Great medical, dental, and vision insurance options
• Mental health benefits
• In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
• 401(k) plan to help save for your future
• Pre-tax commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. #Hybrid

The expected base pay range for this position in the New York City area is $45-$47/hour USD, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.