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 GSuite products (Looker Studio, Google Sheets, Google 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).

About the Team

At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber's GSS (Global Scaled Solutions) org leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, digitization programs and more. We combine technology and human intelligence optimally to run scaled programs. To do this efficiently and with high quality, we have built industry leading tech and ops muscle and have now externalized the same.

The tech+ops solution coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world and building the required analytical muscle for it. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry.

As we build this new business line, our goal is to extend gigs to millions of eligible people looking for flexible work world wide and also create complementary earnings opportunities for existing earners on Uber's platform.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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.