Uber Recruitment Program 2026 | Hiring Applications Developer – Apply Now!

Qualifications

Basic Qualifications

1. 2–4+ years of experience in an analytics-focused role (e.g., Data Analyst, BI Analyst, Product Analyst, or similar) working with data to support business decisions.
2. Strong proficiency in SQL, including experience querying large datasets and writing efficient, well-structured queries.
3. Experience with at least one scripting or analysis language such as Python or R for data analysis, automation, or data quality checks.
4. Experience building dashboards or reports in a modern BI tool (e.g., Tableau, Looker, Power BI).
5. Ability to break down ambiguous problems into clear analytical steps and deliver high-quality, accurate results.
6. Strong communication skills, with the ability to present data and findings in a clear, organized way to non-technical stakeholders.
7. Demonstrated curiosity about how businesses make money and how financial and operational metrics tie together.

Preferred Qualifications

1. Exposure to fintech, financial services, or experience working with Finance, FP&A, or Accounting teams in a data or analytics capacity.
2. Exposure to financial concepts such as revenue recognition, cost allocation, unit economics, contribution margin, forecasting, or capital allocation.
3. Experience working with financial or transactional datasets and an understanding of how they flow from source systems (e.g., billing, payments, ledgers, ERP) into analytical layers.
4. Experience supporting planning, forecasting, or performance management processes with data and metrics.
5. Interest or some exposure to using GenAI/LLMs for analytics or self-serve data access (e.g., prompt design, building prototypes, or working with natural-language query tools).
6. Demonstrated ability to manage multiple tasks, balance priorities, and deliver on deadlines in a fast-paced environment.

What You’ll Do

1. Support Finance, FP&A, Accounting, Product, and Data teams by building queries, reports, and dashboards that explain how Uber measures revenue, costs, margins, and profitability across LOBs, products, and geographies.
2. Help maintain and document core financial and profitability metric definitions (e.g., revenue, variable cost, contribution margin, unit economics) and ensure they are correctly applied in analyses and dashboards.
3. Build and maintain dashboards and recurring reports using existing curated data models and views to provide a single source of truth for business performance analyses and financial reporting.
4. Analyze large-scale financial and operational datasets to identify trends, drivers, and anomalies in revenue, cost, profitability, and efficiency, and summarize findings in a clear, structured way.
5. Provide analyses and data extracts that feed into strategic planning and capital allocation discussions, under the guidance of senior team members.