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.
Basic Qualifications
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.
Preferred Qualifications
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.
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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.
