Analytics Lead, Decisions & Insights

Lyft
New York, NY
On-siteCareer-pivot friendly

In the 12 months to 30 Jun 2026, Lyft filed 2 H-1B positions titled "Analytics Lead". Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.

Who this role is best for

Aimed at mid-to-senior level analytics professionals who can lead cross-functional initiatives and synthesize complex data into actionable strategies.

Best fit for

  • Candidates with 5+ years in strategic analytics or consulting roles, especially those with a track record of influencing product and business strategies
    — “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”
  • Individuals who can translate data into persuasive narratives for both technical and non-technical stakeholders
    — “Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences”
  • Candidates who thrive in fast-paced environments and can manage time effectively to drive business impact
    — “Work in a fast-paced environment and effectively manage time to deliver business impact in a time-efficient manner”

Things to consider

  • The role requires in-office presence at least 3 days per week, which may not align with remote-preference candidates
    — “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”
  • Candidates must be based in New York, NY, as the job is tied to a specific geographic location
    — “Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role”

How to stand out

  • Highlight experience in leading high-visibility projects that influenced strategic decisions across teams
    — “Experience in leading high visibility projects and influencing others in a cross-functional team environment”
  • Demonstrate your ability to synthesize data from multiple sources into clear, strategic recommendations
    — “Ability to independently break down large datasets and synthesize inputs from multiple sources”
  • Showcase your track record in presenting to senior leadership with data-driven storytelling
    — “Experience in communicating with and presenting to senior leaders and data storytelling”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Develop hypotheses and analytical frameworks
  • Influence business strategy and product roadmaps
  • Provide actionable insights on improvements
Typical background
5+ years experience in management consulting or strategic data science roles

Skills & requirements

Required

Business AnalysisData ModelingMarketplace TrendsProduct RoadmapsDecision Making FrameworksSQL

Preferred

Product And User Experience SenseStrategic Thinking

Stack & domain

SQLData AnalysisBusiness ModelingCommunicationTeamworkAnalyticsMarketplaceProduct Strategy

About the role

Original posting from Lyft

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.

Source: Lyft careers

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