Data Analyst

About the Role

We are building scalable data and labeling solutions that power next-generation AI and Generative AI systems across diverse industries. As a Data Analyst, you will drive visibility into complex data workflows, improve operational efficiency, and deliver actionable insights that directly impact client outcomes and program success. Your work will play a critical role in shaping how data is processed, measured, and optimized at scale.

---- What the Candidate Will Do ----

1. Analyze large and complex datasets to identify trends, gaps, and actionable insights
2. Build and maintain dashboards and automated reports for real-time monitoring of key metrics
3. Work closely with Program, Product, and Operations teams to understand data needs and improve workflows
4. Investigate data issues, perform root cause analysis, and drive process improvements
5. Develop and optimize data pipelines to ensure accurate and timely data flow
6. Translate ambiguous business problems into structured analytical solutions
7. Communicate insights and recommendations clearly to stakeholders, including client-facing scenarios
8. Drive continuous improvements in data quality, efficiency, and overall program performance

---- Basic Qualifications ----

1. 4+ years of experience in Data Analytics / Business Intelligence or related fields
2. Strong SQL and Excel skills for data analysis and manipulation
3. Proficiency in Python for data processing and analysis (e.g., Pandas, NumPy)
4. Experience working with large datasets to generate insights and support decision-making
5. Experience building dashboards and automated reporting solutions (e.g., Tableau, Looker Studio)
6. Ability to independently structure problems, investigate data, and deliver actionable insights
7. Strong communication skills and ability to work with cross-functional and client-facing teams
8. Comfortable working in fast-paced, high-ownership, delivery-driven environments

---- Preferred Qualifications ----

1. Familiarity with statistical analysis, experimentation, and A/B testing
2. Experience working in client-facing or service-oriented environments with strong ownership of deliverables
3. Exposure to large-scale data workflows such as operations analytics, data labeling, or process optimization
4. Familiarity with LLMs and Generative AI use cases
5. Experience with Google ecosystem tools (Sheets, Apps Script, Looker Studio, Colab)
6. Exposure to cloud platforms (e.g., Google Cloud) and data pipeline workflows

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 fuelds progress. What moves us, moves the world - let’s move it forward, together.

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.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.