Uber

Connects people with rides, meals and groceries

Application Developer 2 - Finance Data Platform

Business IntelligenceConfirmed live in the last 24 hours

Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Finance, Economics, or a related quantitative and business field is required.
Strong proficiency in SQL, including experience working with large-scale analytical data warehouses and complex joins and transformations, is required.
Proficiency in at least one scripting or analysis language such as Python or R for deeper analysis, automation, and data quality checks is required.
Experience building and maintaining dashboards and reports in a modern business intelligence tool such as Tableau, Looker, or Power BI for Finance or business stakeholders is required.
Ability to structure ambiguous problems, define and operationalize metrics, and design analyses end-to-end is required.
Ability to explain complex financial and technical concepts to non-technical stakeholders and drive alignment on recommendations is required.

Responsibilities

Partner with Finance, FP&A, Accounting, Product, Operations, and Data Science teams to understand how revenue, costs, margins, and profitability are measured across lines of business, products, and geographies.
Own and refine core financial and profitability metric definitions, including revenue, variable cost, contribution margin, and unit economics, and ensure they are consistently implemented and 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, including natural-language query interfaces and chat-based explainers, to help internal customers 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 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.

Desired Qualifications

Experience in fintech, financial services, or working closely with Finance, FP&A, or Accounting teams in a data or analytics capacity.
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 such as billing, payments, ledgers, and ERP systems and analytical layers.
Experience supporting planning, forecasting, or performance management processes with data and metrics.
Ability to influence cross-functional stakeholders, prioritize among competing tasks, and drive complex, multi-stakeholder projects to completion in a fast-paced environment.

About the Team

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 Role

As 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.

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.

About the Company

Uber

Connects people with rides, meals and groceries

Uber runs digital marketplaces that connect people seeking rides, meals and groceries with drivers, couriers and local merchants. Its Uber app includes private and shared rides, while Uber Eats lets customers order from restaurants and stores for delivery or pickup. The apps match requests with nearby service providers, handle payment and show trip or order progress, with revenue coming from service fees charged on transactions. Uber Freight connects businesses shipping goods with trucking companies and sells managed transportation services, extending the group's software beyond consumer trips. Founded in 2009, Uber is headquartered in San Francisco, California.

Company size: 10,001+
Company stage: IPO
Headquarters: San Francisco, CA
Founded: 2009

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