Uber
Website:
uber.com
Job details:
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
- Analyze large and complex datasets to identify trends, gaps, and actionable insights
- Build and maintain dashboards and automated reports for real-time monitoring of key metrics
- Work closely with Program, Product, and Operations teams to understand data needs and improve workflows
- Investigate data issues, perform root cause analysis, and drive process improvements
- Develop and optimize data pipelines to ensure accurate and timely data flow
- Translate ambiguous business problems into structured analytical solutions
- Communicate insights and recommendations clearly to stakeholders, including client-facing scenarios
- Drive continuous improvements in data quality, efficiency, and overall program performance
- Basic Qualifications
- 4+ years of experience in Data Analytics / Business Intelligence or related fields
- Strong SQL and Excel skills for data analysis and manipulation
- Proficiency in Python for data processing and analysis (e.g., Pandas, NumPy)
- Experience working with large datasets to generate insights and support decision-making
- Experience building dashboards and automated reporting solutions (e.g., Tableau, Looker Studio)
- Ability to independently structure problems, investigate data, and deliver actionable insights
- Strong communication skills and ability to work with cross-functional and client-facing teams
- Comfortable working in fast-paced, high-ownership, delivery-driven environments
- Preferred Qualifications
- Familiarity with statistical analysis, experimentation, and A/B testing
- Experience working in client-facing or service-oriented environments with strong ownership of deliverables
- Exposure to large-scale data workflows such as operations analytics, data labeling, or process optimization
- Familiarity with LLMs and Generative AI use cases
- Experience with Google ecosystem tools (Sheets, Apps Script, Looker Studio, Colab)
- Exposure to cloud platforms (e.g., Google Cloud) and data pipeline workflows
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