_**This is a hybrid role and you must be located in, or willing to relocate to, San Francisco for the position.**_

**About the Role**

We are seeking a Senior Analyst - Spend Analytics & AI Solutions to join the Sourcing COE team. This is a high-impact role that combines spend analytics, data visualization, and automation with emerging AI/LLM capabilities. You will extract and analyze data from ERP systems, design executive-ready dashboards, and identify cost-saving opportunities while experimenting with AI-driven solutions to enhance efficiency and collaboration.

**What You’ll Do**

- Extract and analyze spend data from Oracle and ERP systems to identify trends, risks, and savings opportunities.
- Experience establishing data quality standards, monitoring data traceability, and implementing governance practices for core procurement datasets.
- Build and maintain Tableau/Power BI dashboards to deliver real-time, decision-ready insights.
- Run ETL processes and automation to ensure accurate, efficient data workflows.
- Apply advanced analytics (categorization, forecasting, Savings Opportunities, Price benchmarking).
- Design prompts, test LLM models, and deploy AI agents/chatbots to support Sourcing operations.
- Collaborate with cross-functional teams to translate analytics into business strategies.
- Document processes, create training guides, and share best practices.
- Continuously explore new tools and technologies (AI, cloud platforms, automation)

**Basic Qualifications**

- Bachelor’s or Master’s in Engineering, Data Analytics, Finance, Supply Chain, Computer Science, or related field.
- 4+ years of experience in spend, procurement, or financial analytics, with exposure to AI/ML.

**Preferred Qualifications**

**Analytical & Technical Skills**

- Strong SQL expertise and ERP data extraction (Oracle, SAP, Coupa)
- Advanced proficiency in Tableau/Power BI for dashboarding
- Experience in ETL operations, data cleansing, and integration
- Proficiency in Excel and Google Sheets automation
- Strong understanding of spend categorization, cost-saving analysis, supplier performance, and compliance

**AI & Prompt Engineering Skills**

- Proficiency in Python for analytics, ML, and API integration
- Experience with prompt engineering and system design for LLMs (CustomGPT, Gemini, OpenAI/GPT)
- Familiarity with AI model evaluation (accuracy, grounding, hallucination rate)
- Exposure to AI agent development and cloud AI platforms (GCP, Azure, AWS)

For San Francisco, CA-based roles: The base salary range for this role is USD$133,000 per year - USD$148,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

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](https://forms.gle/aDWTk9k6xtMU25Y5A).

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.