Uber Global Data Analyst Reporting 

United States, West Virginia 

532732905

• Scale Reporting Excellence: Design, develop, and maintain best-in-class reporting tools and dashboards to support merchants globally.

• Automate and Optimize: Build automated solutions to simplify access to insights and reduce manual work, enabling scalable, data-driven decision-making.

• Enhance Merchant Experience: Continuously improve reporting systems to ensure merchants receive valuable, actionable insights in a seamless and intuitive format.

• Drive Insightful Analyses: Conduct deep-dive analyses and synthesize complex data into clear, strategic recommendations for leadership and cross-functional teams.

• Stakeholder Management: Coordinate with a broad set of stakeholders—Product, Finance, Legal, Support, Policy, and more—to align goals, manage dependencies, and ensure timely execution.

• Support Product Launches: Ensure new product features and merchant needs are reflected in our data and supported by scalable reporting infrastructure.

• Documentation & Knowledge Sharing: Create and maintain technical documentation on reporting tools and processes for internal teams and external partners.

• Bachelor’s degree in Engineering, Business Analytics, Computer Science, or related fields.

• 3+ years of experience in business intelligence, analytics, or data engineering roles.

• Expert proficiency in SQL, with the ability to write complex queries and optimize for performance across large datasets.

• Experience with Python, including statistical analysis, data manipulation, and automation workflows.

• Strong analytical thinking and business judgment, with a proven ability to solve complex problems across teams and product areas.

• Exceptional attention to detail, with a focus on scalability, accuracy, and efficiency.

• English proficiency.

Preferred Qualifications

• Experience building and maintaining business intelligence systems and reporting tools.

• Solid understanding of e-commerce, grocery, or retail operations.

• Familiarity with Python libraries such aspandas,NumPy,matplotlib, andSciPy.

* 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 .