Data Analyst I, Tech

About the Role

We are building one of the most scalable, high-quality data collection and labeling engines powering the next generation of AI and Generative AI systems. Our projects span audio, video, image, LiDAR, text, and multimodal datasets across diverse industries and geographies.

As a Data Analyst, you'll be the analytical engine behind these programs, partnering with Program Managers, Product, Engineering, and Operations to bring structure, visibility, and actionable insights to complex data workflows. You'll help the team measure what matters, identify performance gaps, and guide decision-making through data.

---- What the Candidate Will Do ----

Coding

1. Exceptional Analytical, problem-solving, Excel and data management skills; SQL Proficiency
2. Strong Python skills, experience in data extraction & wrangling (numpy, pandas, plotly)
3. Experience working with Google App Script and other GSuite products (Looker Studio, Google Collab, Google Sheets, Slides, etc)

Advanced Analytics

1. Analyze large datasets to identify actionable insights, trends, and opportunities for growth
2. Create automated reporting solutions for real-time data analysis and monitoring
3. Familiarity with Large Language Models (LLMs) and an understanding of how Generative AI can be applied to data-driven solutions
4. Familiarity with cloud-based data solutions (e.g., Google Cloud).

Problem Solving

1. Strong communication and organization skills, with the ability to synthesize a lot of information quickly, highlight the key takeaways, and disseminate actionable insights
2. Comfortable with open ended problems, able to structure vague problems and bring out a solution

---- Basic Qualifications ----

1. 4+ years of work experience in Analytics/ Business Intelligence/ Mathematics, Statistics, Computer Science, Engineering, or related discipline is mandatory
2. Exceptional Analytical, problem-solving, Excel and data management skills; SQL Proficiency
3. Strong Python skills, experience in data extraction & wrangling (numpy, pandas, plotly)
4. Experience working with Google App Script and other GSuite products (Looker Studio, Google Collab, Google Sheets, Slides, etc)
5. Analyze large datasets to identify actionable insights, trends, and opportunities for growth
6. Ability to self-serve, investigate, get the required data and expertise in data visualization/presentation (e.g., Tableau, Looker Studio)
7. Create automated reporting solutions for real-time data analysis and monitoring
8. Strong communication and organization skills, with the ability to synthesize a lot of information quickly, highlight the key takeaways, and disseminate actionable insights
9. Ability to work with remote teams and across time zones to develop strategies and foster a cohesive and creative work environment
10. Ability to effectively operate with high energy and flexibility in a fast-paced, constantly evolving team environment
11. Highly Motivated, Self Driven and Strong Analytical skills

---- Preferred Qualifications ----

1. Statistics & Data science - Should be conversant with basic Statistical Analysis (Regression, Classification etc) , A/B testing & Experimentation
2. Familiarity with Large Language Models (LLMs) and an understanding of how Generative AI can be applied to data-driven solutions
3. Familiarity with cloud-based data solutions (e.g., Google Cloud).

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 accommodations@uber.com.

Client-provided location(s): Hyderabad, India

Job ID: Uber-150594

Employment Type: FULL_TIME

Posted: 2025-11-07T00:35:32