Data Analytics Internship

Uber's interview process typically starts with an online coding test focusing on JavaScript and SQL fundamentals, followed by a technical interview that blends coding, data manipulation, and scenario‑based questions about policy automation. The final HR round assesses cultural fit, communication skills, and internship expectations. Candidates should practice problem‑solving under time pressure and be ready to discuss real‑world examples of stakeholder collaboration.

Uber promotes a fast‑paced, data‑driven culture where engineers are encouraged to experiment and iterate quickly. Employees benefit from clear growth ladders, mentorship programs, and a balance between high impact projects and personal well‑being initiatives.

Graduating in 2025 with a Bachelor's degree in Computer Science, Information Technology, Electronics & Communication, or related engineering streams. Minimum 60% academic aggregate (or CGPA 6.5/10). No more than 1 active backlog at the time of joining. Must be eligible to work in India and able to attend in‑office days as per Uber policy.

Round 1: Online Coding Assessment (JavaScript/SQL problems) → Round 2: Technical Interview (coding, system design, policy automation scenarios) → Round 3: HR Interview (fit, motivation, internship logistics)

Uber is a global technology platform that has reshaped urban mobility. From its humble beginnings as a premium ride‑hailing service, Uber now operates in more than 10,000 cities, offering rides, food delivery, freight, and emerging autonomous‑vehicle solutions. The company’s mission is to make transportation as reliable as running water, and it invests heavily in data‑driven products, cloud infrastructure, and AI to keep the world moving. Uber’s culture blends fast‑paced innovation with a strong focus on safety, inclusivity, and sustainability, making it an attractive destination for fresh talent eager to work on real‑world impact. The CommOps Policy Developers (COPD) team sits at the intersection of policy, technology, and operations. As an intern, you will be part of a cross‑functional squad that translates global policies into actionable code, automates workflows, and measures the effect of new processes on drivers and riders worldwide. You will collaborate with stakeholders from community operations, product, and data science, gaining exposure to both business strategy and engineering execution. **Key Responsibilities** 1. Gather requirements from regional and global stakeholders and design automation solutions. 2. Write clean, testable JavaScript code to implement policy logic. 3. Develop and optimise SQL queries for data extraction and reporting. 4. Manipulate JSON payloads to integrate policy data across internal APIs. 5. Build end‑to‑end automated workflows that streamline city‑level operations. 6. Conduct impact analysis and generate dashboards to track efficiency gains. 7. Coordinate with the Community Operations team to validate roll‑outs and collect feedback. 8. Document processes, create runbooks, and maintain version control. 9. Participate in code reviews and adopt best practices for scalability. 10. Assist in troubleshooting production issues related to policy automation. **Tech Stack**: JavaScript (Node.js), SQL (MySQL/PostgreSQL), JSON, REST APIs, Git, and basic cloud services (AWS/GCP). Familiarity with data visualisation tools such as Tableau or Looker is a plus. **Growth Path**: Successful interns can transition to full‑time Software Engineer or Operations Analyst roles within Uber’s Global Operations or Platform Engineering groups. The experience provides a solid foundation for careers in product operations, policy engineering, or data‑driven decision making. **Why Join Uber?** Working at Uber means contributing to a platform that moves millions of people daily. Interns receive mentorship from senior engineers, exposure to large‑scale systems, and the chance to see their code affect real‑world mobility. The company also offers competitive stipends, flexible work arrangements, and a vibrant, inclusive culture that encourages learning and rapid career progression.