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Influence product roadmaps through analytics and financial modeling in a hybrid role at Lyft.

Location
New York, NY, United States
Compensation
$140k–$190.4k/yr
Level
mid
Type
full time · Hybrid

Posted by employer 10 hours ago

First seen on Joblaze 9 hours ago

Last verified on the company career page 9 hours ago

What you'll build

  • Influence product roadmaps through analytics
  • Develop hypotheses and analytical frameworks
  • Analyze collected data
  • Build tools and systems for pricing management
  • Develop and test quantitative models

Must have

  • Master's degree in Operations Research, Analytics, or related field
  • 3 years of experience in analytics or related occupation

Nice to have

  • Experience with business analytics
  • Experience with optimization and programming

Practical constraints

  • In-office 3 days per week

Requirements

Experience
3+ years
Education
Master's degree

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Remote Work Health Insurance Parental Leave

Joblaze summary

In this role at Lyft, the Data Analyst is tasked with leveraging analytics and financial modeling to influence product roadmaps and optimize pricing strategies. Key skills include proficiency in quantitative analysis, predictive modeling, and programming languages such as Python and R, alongside experience in business analytics and data pipeline development. This position is ideal for candidates with a master's degree and at least three years of relevant experience, particularly those who thrive in a collaborative, in-office environment.

Joblaze insights

  • Listed today — first seen on Joblaze October 17, 2026. Last confirmed on Lyft's careers page October 17, 2026.
  • Salary band is below the typical range for Data Science roles (median ~$175,000).
  • Starts above 61% of 33 comparable mid data science roles in United States that list Python we track (median $129,709 across 21 companies). See Python salary trends
  • Python appears in 69.7% of 66 comparable mid data science roles in United States; Machine Learning appears in 19.7% of 66 comparable mid data science roles in United States.

Quick facts

Is the Data Analyst role remote?
It's hybrid — Lyft expects some on-site time in New York, NY, United States.
What's the salary range?
Lyft lists $140,000–$190,440 for this role.
How much experience is required?
At least 3 years of relevant experience for this Data Analyst role.
Where is the role based?
Lyft is hiring for this position in New York, NY, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: C++, Machine Learning, Predictive Modeling, Python, Quantitative Analysis, R.
What seniority level is this role?
Lyft targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Data Analyst role at Lyft.

From the original posting

Job ID: 111270

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

Standard company text repeated across Lyft's postings is omitted here.

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