Application Developer II, Finance Data Platform
Uber Eats
San Francisco, California
Posted 1 weeks ago
Qualifications
Education
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Finance, Economics, or a related quantitative and business field.
Responsibilities
Primary Duties
- Use data to shape how Uber measures and understands business performance and profitability.
- Own key financial and profitability metrics.
- Build scalable reporting and analytical views.
- Deliver insights that directly influence strategic decisions and capital allocation across Uber.
Additional Duties
- Act as a thought partner to Finance, Operations and Product leaders.
- Translate complex financial and operational data into clear stories and recommendations.
- Help design GenAI-powered self-serve tools.
About This Role
Uber's Finance Data Platform team builds and operates the foundational data products that power Uber's financial and profitability insights.
Key Objectives
- Shape how Uber measures and understands business performance and profitability.
- Own key financial and profitability metrics.
- Build scalable reporting and analytical views.
Benefits & Perks
Benefits Package
- 401(k) plan
- various benefits
Required Skills
Technical Skills
SQLPythonRTableauLookerPower BI
Soft Skills
Strong communication and data storytelling skills.
Full Job Description
Application Developer II, Finance Data Platform
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.
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.
Basic Qualifications:
Preferred Qualifications:
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.
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.
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.
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.
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.
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.
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.
How to Apply
$138
/ hour
Uber Eats pays $138 for Software Engineer in San Francisco, California, with most salaries ranging from $104 to $183. Pay can vary based on role, experience, and local cost of living.
Median
$138
Low
$104
High
$183
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Figures represent approximate ranges and may vary based on experience, location, and other factors. For the most accurate information, please consult the employer directly. Contact us to suggest updates to this information.





