Data Analyst Intern

Uber’s interview process typically starts with a timed online coding assessment focusing on JavaScript, SQL, and data manipulation. Successful candidates move to a technical interview where they solve live coding problems, discuss data pipelines, and explain design decisions. The final HR round evaluates cultural fit, communication skills, and motivation. Preparation should include practicing medium‑hard coding questions, revisiting SQL joins and JSON handling, and articulating past project impact.

Uber promotes a high‑energy, merit‑based culture where engineers are encouraged to experiment and ship quickly. Employees benefit from mentorship, clear growth tracks, and a supportive environment that balances challenging projects with flexible work arrangements.

Pursuing B.Tech/B.E., B.Sc., or M.Tech in Computer Science, Information Technology, Data Science, Electronics, or related fields; minimum 60% aggregate (or CGPA 6.0/10); anticipated graduation in 2025; no active backlogs; strong problem‑solving ability and basic programming knowledge.

Round 1: Online assessment (coding & SQL) → Round 2: Technical interview (coding, data manipulation, system design) → Round 3: HR interview (fit and motivation)

Uber is a global technology platform that has redefined mobility and logistics across more than 10,000 cities. From ridesharing to food delivery, freight, and autonomous vehicle research, Uber’s mission is to make transportation as reliable as running water for everyone, everywhere. The company invests heavily in data‑driven decision making, leveraging massive streams of real‑time information to improve safety, efficiency, and user experience. With a culture that celebrates bold ideas, rapid experimentation, and cross‑functional collaboration, Uber offers interns a front‑row seat to solving real world problems at massive scale. The Data Analytics Intern role within the CommOps Policy Developers (COPD) team is designed for a technically strong, analytically minded student who wants to influence global policy implementation. As an intern, you will partner with product managers, policy engineers, and community operations stakeholders to design, build, and automate data pipelines that power policy decisions for drivers and riders worldwide. You will write clean, testable JavaScript code, craft complex SQL queries, and manipulate JSON datasets to surface insights that directly affect operational efficiency. Key Responsibilities: 1. Collaborate with cross‑functional stakeholders to gather requirements and design automation solutions. 2. Develop, test, and deploy JavaScript scripts that process policy data. 3. Write optimized SQL queries to extract, transform, and load data from Uber’s relational databases. 4. Manipulate JSON payloads for API integrations and data validation. 5. Conduct exploratory data analysis to identify trends and recommend improvements. 6. Build dashboards and visual reports that communicate impact to global teams. 7. Automate repetitive operational workflows to reduce manual effort. 8. Measure and report on the effectiveness of newly launched policies. 9. Document processes, code, and best practices for knowledge sharing. 10. Participate in regular sync‑ups with the Community Operations team to align on priorities and deliverables. Tech Stack: JavaScript (Node.js), SQL (PostgreSQL/Presto), JSON, Git, JIRA, Tableau/Looker for visualization, AWS services for data storage. Growth Path: Successful interns often transition to full‑time Analyst or Software Engineer roles within Uber’s Operations, Data Science, or Product teams, gaining exposure to larger projects and leadership opportunities. Why Join Uber? You will work on mission‑critical systems that impact millions of users daily, receive mentorship from seasoned engineers, and experience a fast‑paced environment that rewards curiosity and impact. The internship provides a blend of coding, analytics, and policy work, making it an ideal launchpad for a career in data‑driven product development.