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Salary
$118k – $148k per year
Location
Hybrid (New York, United States)
Seniority
Staff · 5+ years exp
Visa
H-1B filings in 12 months: 101 · for this role: 28 · green card filings: 46

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 5, 2026. Lyft scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Lyft is an American ride-hailing company that connects riders with drivers through its mobile app in the United States and Canada, and also runs bike and scooter sharing systems in several cities. Its business includes Lyft Business programmes for companies, the Flexdrive vehicle rental service for drivers and Lyft Urban Solutions for municipal bikeshare operations. The company is listed on Nasdaq and employs product, engineering and operations staff in San Francisco, Toronto, New York and Montreal. The company is headquartered in San Francisco, California, United States.

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.

The Central Market Management organization at Lyft is responsible for accelerating the growth of the business and for delivering our top business/company goals related to marketplace and business performance.

Within Central Market Management, the Decisions & Insights team identifies and develops an understanding of our marketplace’s most critical problems & opportunities and creates business & product strategies to address them.  We’re looking for an Analytics Lead to drive deep dive business & product analyses and drive growth.

The ideal candidate has strong analytical problem solving skills, effective communication skills, and proactively takes ownership of their workstreams.

Responsibilities:

  • Develop hypotheses and analytical frameworks for understanding market dynamics and provide recommendations to senior leadership.
  • Influence business strategy and product roadmaps through insightful analytics and business modeling. Be an analytical thought leader.
  • Analyze marketplace product & marketplace trends and provide cross-functional teams with actionable insights on improvements and problem areas.
  • Work in a fast-paced environment and effectively manage time to deliver business impact in a time-efficient manner
  • Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements
  • Be proactive in pursuing opportunities and have a true ownership mindset to get things done

Experience:

  • 5+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
  • Experience in leading high visibility projects and influencing others in a cross-functional team environment
  • Experience in communicating with and presenting to senior leaders and data storytelling
  • Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions
  • You are a self-starter, take ownership, and are proactive; you have an eagerness to identify opportunities and a drive for impact
  • Skills
    • Ability to independently break down large datasets and synthesize inputs from multiple sources
    • Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans
    • Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
    • Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
    • Strong written and verbal communication skills for internal stakeholders, including senior leadership
    • Strong product and user experience sense
    • Excellent organization, planning skills, and attention to detail
    • Advanced analytical and problem solving skills
    • Proficiency in SQL

Benefits:

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $118,000 -$147,500, 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.

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