# Finance Analyst at Lyft

> Mexico · Unspecified · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Alyft%3A8881573002 (read 2026-11-05).

## Facts (observed)

- Company: [Lyft](https://alderhq.app/companies/lyft)
- Location text: Mexico City, Mexico; Flex - Mexico
- Where it can be done from (inferred): Mexico (evidence: "Location: Mexico City, Mexico; Flex - Mexico")
- Posted: 2026-10-09 (27 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://app.careerpuck.com/job-board/lyft/job/8881573002?gh_jid=8881573002
- Skills listed (inferred): SQL

## Pay and sponsorship

- Posted pay: not posted
- H-1B filings at this company for similar roles, FY26: 8, median offered wage $118k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

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.

This Finance Analyst role will support our Rideshare business — the heart of Lyft’s operations — helping shape strategy, forecast performance, and guide critical decisions that impact millions of riders and drivers every day. We are seeking a highly analytical and detail-oriented professional with exceptional financial acumen and strategic thinking skills. Strong communication, prioritization, and teamwork are essential, along with a proactive, results-driven mindset.

This is a unique opportunity to play a hands-on role in the financial future of one of the most innovative, mission-driven companies in the tech and mobility space.

### 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.
Please submit your resume in English.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Alyft%3A8881573002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.