Data Analyst

Lyft
New York, NY
On-site

Who this role is best for

Geared toward candidates with a master's degree in analytics or operations research, comfortable with building quantitative models and analyzing pricing dynamics. The role emphasizes in-office collaboration and requires a hybrid schedule with 3 days per week in the office.

Best fit for

  • Candidates with a master's degree in analytics or operations research and experience in predictive modeling and business analytics
    — “Master's degree or foreign equivalent in Operations Research, Analytics, or related field.”
  • Candidates who have experience in developing data pipelines and analytical tools for large-scale operations
    — “Experience with business analytics and authoring data pipelines.”
  • Candidates who can work in a hybrid schedule with a strong in-office commitment and thrive in collaborative environments
    — “Lyft highly values having employees working in-office to foster a collaborative work environment.”

Things to consider

  • Requires in-office presence 3 days per week, with limited remote flexibility
    — “Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays.”
  • Hybrid roles allow for up to 4 weeks of remote work per year, but not more
    — “hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.”

How to stand out

  • Highlight experience in building scalable pricing tools and systems in your resume and interview responses
    — “Work closely with product leads to build efficient tools, systems, and processes to manage pricing and driver earning at scale.”
  • Demonstrate your ability to develop and test quantitative models and optimization algorithms
    — “Develop and test quantitative models, support software, and analytical tools.”
  • Showcase your history of working with programming languages like Python, R, and C++
    — “Experience with optimization and programming, including C++, R, Python, and algorithms.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

  • influencing product roadmaps through analytics and financial modeling
  • developing and testing quantitative models
  • building efficient tools and processes
Typical background
Master's degree in Operations Research, Analytics, or related field3 years of experience in analytics or related occupation

Skills & requirements

Required

Quantitative AnalysisPredictive ModelingMachine LearningProgramming LanguagesBusiness AnalyticsAuthoring Data PipelinesOptimization And Programming

Preferred

C++RPythonAlgorithms

Stack & domain

Quantitative AnalysisPredictive ModelingMachine LearningProgramming LanguagesAnalytical SoftwareDatabase ApplicationsBusiness AnalyticsData PipelinesOptimizationC++RPythonAlgorithms

About the role

Original posting from Lyft

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

Source: Lyft careers

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