Description
This Finance Analyst role will support Lyft's Rideshare business, helping shape strategy, forecast performance, and guide critical decisions that impact millions of riders and drivers every day.
Responsibilities:
- Develop, maintain and enhance financial models to assess performance, growth opportunities, and operational efficiency.
- Lead the weekly Actuals vs. Forecast process, identifying variances and updating Rest of Quarter projections to keep leadership informed of our trajectory.
- Collaborate with teams across Operations and Product, to connect financial outcomes with business levers.
- Enhance forecasting accuracy and reporting efficiency through automation and scalable tools.
- Develop sustainable financial data management/sourcing practices.
- Deliver clear, actionable insights through dashboards, reports, and executive presentations.
- Ensure accurate and transparent financial reporting through collaboration with Accounting and Data teams.
- Support continuous improvement across FP&A systems and processes.
- Collaborate with the Accounting team on month-end and quarter-end processes.
Experience:
- A Bachelor's degree in a quantitative field (e.g Economics, Computer Science, Mathematics, or Finance) with at least 2-3 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.
- Strong understanding of accounting principles, accrual methodologies & reconciliations.
- Ability to translate complex financial data into actionable insights that guide executive-level decision-making.
- 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.
- Maintain a deep understanding of our finance processes and actively contribute to improving them, developing sustainable data management practices that allow the team to move fast.
- Strong communication and interpersonal skills, with the ability to influence cross-functional teams.
- Proficiency in SQL and ERP systems, such as Oracle or Anaplan, is preferred.