Uber Technologies Inc. is a global mobility platform that connects riders, drivers, couriers and businesses across more than 10,000 cities worldwide. In India, Uber has built a robust ecosystem that spans ride‑hailing, food delivery (Uber Eats), freight and advanced logistics solutions. The company invests heavily in technology, data‑driven decision making and regulatory compliance to ensure safety, reliability and trust for its millions of users. Uber’s culture emphasizes rapid experimentation, cross‑functional collaboration and a relentless focus on impact, making it an attractive destination for ambitious technologists. The Data Analyst II – Tech role sits within the Data Engineering and Sharing Solutions Team of the Legal organization, specifically under the Compliance & Ethics sub‑team. As a senior analyst, you will act as the technical bridge between complex data ecosystems and stringent global regulatory requirements. Your primary mission is to design, build and maintain the data pipelines, SQL logic and data‑quality frameworks that power Uber’s compliance reporting and safety data sharing with law‑enforcement agencies and regulators. Key responsibilities include: 1. Define and maintain core SQL transformations that serve as the single source of truth for all compliance and safety datasets. 2. Establish automated data‑quality (DQ) standards, validation scripts and exception reporting mechanisms. 3. Collaborate with solution architects to design scalable data‑sharing frameworks for regulatory requests. 4. Serve as the go‑to analytical consultant for Legal, Public Policy and Operations teams, translating legal mandates into technical specifications. 5. Identify recurring data‑request patterns and build modular, self‑service workflows to automate fulfillment. 6. Document data models, lineage and governance policies to ensure audit‑ready datasets. 7. Implement privacy‑by‑design techniques, including PII redaction and secure data handling. 8. Mentor junior analysts on best practices in SQL, data modeling and compliance analytics. 9. Continuously monitor performance of data pipelines and optimize for cost and latency. 10. Participate in cross‑functional hackathons and innovation sprints to improve compliance tooling. Tech stack: Advanced SQL (CTEs, window functions), Python for scripting, Snowflake/BigQuery data warehouses, Airflow for orchestration, Tableau/Looker for visualization, and familiarity with GDPR, Indian data‑privacy regulations. Growth path: Successful analysts can progress to Lead Data Analyst, Data Engineering Manager, or move into specialized roles such as Compliance Data Architect or Privacy Engineer. Uber encourages internal mobility, offering mentorship programs, leadership bootcamps and exposure to global product teams. Why join Uber? You will work on high‑impact problems that directly affect public safety and regulatory trust, collaborate with world‑class engineers and legal experts, and benefit from a culture that rewards curiosity, ownership and rapid learning. The role offers competitive compensation, equity, and a vibrant, inclusive workplace that values diversity and personal growth.