Uber's Finance Data Platform team builds and operates the foundational data products that power Uber's financial and profitability insights. We produce trusted, reconciled, and scalable financial and performance metrics used across all of Uber's Lines of Business (LOBs) and Products.
Our datasets and metrics sit at the core of how Uber understands business performance today and plans for tomorrow: they support reporting, forecasting, profitability analyses, investment cases, and future capital allocation decisions. We partner closely with Finance, Accounting, FP&A, Product, Data, and Operations teams to ensure stakeholders have a single source of truth for financial and profitability performance.
About the RoleAs an App Developer / Data Analyst II on the Finance Data Platform team, you will use data to shape how Uber measures and understands business performance and profitability. You will own key financial and profitability metrics, build scalable reporting and analytical views, and deliver insights that directly influence strategic decisions and capital allocation across Uber.
You will act as a thought partner to Finance, Operations and Product leaders, translating complex financial and operational data into clear stories and recommendations, and helping ensure that decisions are anchored on high-quality, consistent metrics. You will also help design GenAI-powered self-serve tools that allow internal customers to get fast, intuitive answers from Finance Data Platform data and metrics.
What You'll Do
- Partner with Finance, FP&A, Accounting, Product, Operations, and Data Science teams to deeply understand how Uber measures revenue, costs, margins, and profitability across LOBs, products, and geographies.
- Own and refine core financial and profitability metric definitions (e.g., revenue, variable cost, contribution margin, unit economics) and ensure they are consistently implemented and well documented across dashboards and data products.
- Design, build, and maintain curated data models, views, and dashboards that provide a single source of truth for business performance analyses and financial reporting.
- Design and iterate on GenAI-powered self-serve analytics tools (e.g., natural-language query interfaces, chat-based explainers) that help internal customers quickly get answers and explanations from Finance Data Platform metrics.
- Analyze large-scale financial and operational datasets to identify trends, drivers, and anomalies in revenue, cost, profitability, and efficiency.
- Support strategic planning and capital allocation processes by providing data-driven insights on business performance, ROI, and investment trade-offs.
- Partner with Finance and Product teams to define and track KPIs for new products, features, and business initiatives, ensuring that performance is measured consistently over time.
- Improve metric quality and reliability by collaborating with data engineers and finance stakeholders on data pipelines, controls, and reconciliation between financial systems and analytical datasets.
- Communicate complex analyses, assumptions, and trade-offs clearly to technical and non-technical audiences, including senior leadership.
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Finance, Economics, or a related quantitative and business field.
- Strong proficiency in SQL, including experience working with large-scale analytical data warehouses and complex joins/transformations.
- Proficiency in at least one scripting or analysis language such as Python or R for deeper analysis, automation, and data quality checks.
- Experience building and maintaining dashboards and reports in a modern BI tool (e.g., Tableau, Looker, Power BI) for Finance or business stakeholders.
- Demonstrated ability to structure ambiguous problems, define and operationalize metrics, and design analyses end-to-end.
- Strong communication and data storytelling skills, with the ability to explain complex financial and technical concepts to non-technical stakeholders and drive alignment on recommendations.
- Experience in fintech, financial services, or working closely with Finance, FP&A, or Accounting teams in a data or analytics capacity.
- Clear understanding of financial concepts such as revenue recognition, cost allocation, unit economics, contribution margin, forecasting, and capital allocation.
- Experience working with financial data models and reconciliations between source systems (e.g., billing, payments, ledgers, ERP) and analytical layers.
- Experience supporting planning, forecasting, or performance management processes with data and metrics.
- Proven ability to influence cross-functional stakeholders, prioritize among competing tasks, and drive complex, multi-stakeholder projects to completion in a fast-paced environment.
For San Francisco, CA-based roles: The base salary range for this role is USD $153,000 per year - USD $170,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
About UsReady to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Finance, Economics, or a related quantitative or business field.
- Strong proficiency in SQL, including experience with large-scale analytical data warehouses and complex joins and transformations.
- Proficiency in at least one scripting or analysis language such as Python or R.
- Experience building and maintaining dashboards and reports in a modern BI tool such as Tableau, Looker, or Power BI.
- Ability to structure ambiguous problems, define and operationalize metrics, and design analyses end to end.
- Strong communication and data storytelling skills, including explaining complex financial and technical concepts to non-technical stakeholders.
- Experience in fintech, financial services, or working closely with Finance, FP&A, or Accounting teams in a data or analytics capacity.
- Understanding of revenue recognition, cost allocation, unit economics, contribution margin, forecasting, and capital allocation.
- Experience with financial data models and reconciliations between source systems and analytical layers.
- Experience supporting planning, forecasting, or performance management processes with data and metrics.
- Ability to influence cross-functional stakeholders, prioritize competing tasks, and drive complex multi-stakeholder projects to completion.
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
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Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
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Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
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Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.
Why Work With Us
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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