Data Analytics 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 actionable outcomes, and you know how to explain data in a compelling way.
• Get stuff done. You have superior organizational skills, integrity, and great follow-through on tasks.

What you’ll be doing:

• Build, maintain, and continue to optimize weekly, monthly and quarterly reporting of

various teams we collaborate with across Rides and Eats.

• Continually improve and automate our methods for gathering data and incorporating it into real-time models, analysis, and actions. Automate various business processes to improve efficiency at work.
• Review data models and queries while performing weekly and ad hoc data analysis to keep the nerve center of our operations engine running at full speed.
• Effectively communicate insights from and be able to tell a story around data, using various visualization tools available

Qualifications and Desired Skills

• Actively pursuing a B.Tech or Integrated Dual Degree (anticipated graduation in 2026) in Electronics Eng, Electrical Engineering, Electronics and computer engineering.
• Exceptional communication and organization skills.
• Explorer - the ability to self-serve, investigate and get the data we require will make you

much more effective in this role. A self-starter attitude is a must!

• Exceptional Excel / data management skills.
• SQL Proficiency required, Python/R Preferred.
• Interest or experience in AI adoption – e.g., using AI tools for data cleaning, exploratory analysis, automation, or insight generation.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [email protected].