Jobs / United States / Lyft INC

Lyft INC

Data Analyst

New York, NY Posted today $140,000 - $190,440/year

Apply on employer site ↗ Tailor my CV first Source: Company careers site

Optional: we can tailor a CV and cover letter for this job from your real experience first (the first one is free).

Skills this job asks for

Machine learningData engineeringC++PythonMental health

Add your CV (free) to see which of these your CV is missing.

Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Lyft INC paid sponsored hires in similar roles8 certified filings for “Data Scientist” (Data Scientists) in NY: $128k–$148k, median $140k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Lyft INC paid sponsored hires in similar roles
8 certified filings for “Data Scientist” (Data Scientists) in NY: $128k–$148k, median $140k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Job ID: 111270 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. Responsibilities: • Responsible for influencing product roadmaps through analytics and financial and business modeling. • Develop hypotheses and analytical frameworks for understanding pricing dynamics and market outcomes. • Analyze collected data and extract information relevant to problems. • Work closely with product leads to build efficient tools, systems, and processes to manage pricing and driver earning at scale. • Develop and test quantitative models, support software, and analytical tools. Experience: Education and Experience: • Master's degree or foreign equivalent in Operations Research, Analytics, or related field. • 3 years of experience in job offered, analytics, or related occupation. Skills: • Experience with quantitative analysis, predictive modeling, and machine learning. • Experience with programming languages, analytical software, and database applications. • Experience with business analytics and authoring data pipelines. • Experience with optimization and programming, including C++, R, Python, and algorithms. 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 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 • 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. 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 $140,000 - $190,440/year Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. #LI-DNI

Apply on employer site ↗