2026 Data Analytics Internship, Manipal Institute of Technology
UberHyderabad, IndiaPosted 6 March 2026
Job Description
2026 Data Analytics Internship, Manipal Institute of Technology
Department: University
Team: Operations
Location: Hyderabad, India
Type: Intern
**About the team:**
At Uber, providing amazing customer support that establishes trust for riders and driver
partners—our community—is a core feature of our product experience. We invest in this
mission and believe in providing the highest quality service implemented in the smartest,
most efficient way.
**Community Operations** is pioneering how Uber manages rider and driver partner support
around the globe and we’re looking for a Analytics & Reporting Supervisor, (you!), to
develop various support efforts within our Hyderabad Center of Excellence (COE). Uber COEs
are contact management centers dedicated to providing premier customer support to riders
and drivers. Uber relies on the COEs to provide support for our community’s toughest issues
types, and provides an environment to pilot support for new products or test new support
modalities or processes.
As an **Intern** You will help support strategic decision making processes through your analytics, heavy data driven approach and operational mindset. The ideal candidate for this role should have strong analytical skills, excellent time- management, priority setting and organizational habits, and the ability to clearly communicate and present information to seek buy-in.
**What you’ll need:**
- Passionate about making magic for our communities and have an enthusiastic attitude.
- You view every support interaction as a chance to impact our riders and driver partners in a positive way
- You will be a powerful advocate for Uber’s customer excellence values and are obsessed
with the community experience.
- An ace problem solver. Express creative problem solving skills, structured thinking & be
highly process oriented.
- You embrace challenges, and would stop at nothing to improve processes effectiveness whether they are short-term workarounds, or more long-term process improvements.
- Data-driven and analytical in mindset. You can look at any spreadsheet and know the right questions to ask to get to ac
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