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 organisation.

Financial Planning & Analysis (FP&A) is an integral part of the decision-making process at Lyft, embedded within the business to ensure we maximise ROI and drive to the best possible P&L outcomes. Lyft’s FP&A team is looking for a Senior Financial Analyst to join our Rideshare team.

The Rideshare team supports all things related to servicing rides through the Lyft platform. The ideal candidate should have solid analytical, communication, and time management skills, as well as being team-oriented and employing a strong work ethic. This role will work cross-functionally across FP&A and the business to develop and manage forecasts and financial analytics with a focus on enhancing financial visibility and insights into the business. Additionally this position will call for direct partnership with Customer Market Management and Growth Marketing teams, to drive robust forecasting and analytics for Rider and Driver Incentives. It is a unique opportunity to make a real impact at one of the most exciting companies in the tech world.

• Defining key metrics and producing accurate reports and data analysis to meet contractual and regulatory requirements.
• Coordinating with internal systems and financial analytics teams to refine forecasting of estimated actuals.
• Supporting Rideshare Post-Marketing Margin (PMM) modelling and forecasting efforts.
• Providing expert financial analysis and support for ad-hoc requests.
• Acting as a subject matter expert in finance for Driver incentives/onboarding and Rider incentives.

• A Bachelor's degree in a quantitative field (e.g Economics, Computer Science, Mathematics, or Finance) with at least 4 years of experience in financial planning and analysis, preferably in a dynamic and challenging environment.
• Demonstrated ability to develop complex financial models, with excellent quantitative analysis and forecasting skills.
• Proven capability to work effectively in a fast-paced, team-oriented environment.
• Comfort in dealing with ambiguity and the ability to derive insights from incomplete information.
• A detail-oriented, highly organised self-starter with the ability to manage overlapping tasks and frequent priority changes.
• Familiarity with SQL and ERP systems, such as Oracle Essbase or Anaplan, is 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 will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. 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 San Francisco area is $114,000 - $142,500. 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.