Claims Strategy Data Analyst

U.S. Anywhere


Rideshare with Lyft. Lyft is your friend with a car, whenever you need one. Download the app and get a ride from a friendly driver within minutes.

View company page

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Lyft is looking to add a QA Claims Analyst to ensure that we have a consistent and world class claims experience across the many partners that administer our claims domestically and internationally.  You will work closely with our Risk Solution team to develop and manage the technical aspect of our claim QA program with data analytics, automating the QA process(es) and the reporting/ monitoring of QA results. 


  • Analyze loss runs and claim data to identify trends to establish claim initiatives and QA claim sampling methodology for core and focus audits areas 
  • Develop and assist in the management of the claim initiatives/ QA audit interface which consists of file assignment, QA questionnaire(s) and scoring/ weighting of the reviews  
  • Create and oversee dashboards and routine reporting of claim results to identify performance quality and trends to Lyft management and partners 
  • Work with product and data science to develop models to improve or automate the claim/ QA process(es)  
  • Partner with Claims Process Manager on identifying gaps in process or training


  • 3+ years experience in data analysis, operational analytics, financial analysis, and/or dashboarding
  • 3+ years experience of claim experience and knowledge of claim handling processes
  • Experience with unique aspects of rideshare claims, commercial auto or general liability a plus  
  • Program knowledge in SQL and practical experience in Mode, Looker, Tableau, or similar BI and dashboarding tool. Python and R preferred
  • Action-oriented and able to collaborate effectively with internal and external stakeholders at all levels 
  • Demonstrates ability to work independently and remotely to achieve results with limited supervision
  • Bachelor's Degree or equivalent work experience preferred


  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • Family building benefits
  • In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Pre-tax commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. 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 or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.  

This role is work-from-anywhere in the U.S., excluding U.S. territories. 

The expected range of pay for this position in the US is $86,720 - $117,500. 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.

Apply now Apply later
  • Share this job via
  • or

Tags: Data analysis Data Analytics Looker Python R SQL Tableau

Perks/benefits: Equity Health care Insurance Medical leave Parental leave Salary bonus Unlimited paid time off

Regions: Remote/Anywhere North America
Country: United States
Job stats:  18  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.