Data Analytics Specialist III - Automation Specialist

About the role and team

The Community Operations organization at Uber is where real people solve real problems in real time. As a member of the Data & Analytics team, you aren't just a reporter of data—you are a builder of the analytical infrastructure that powers our global support network. You’ll turn complexity into clarity by building the statistical tools and models that help our teams make high-stakes decisions under pressure. The pace is fast, and the data is often messy, requiring a mindset that thrives on ambiguity and an owner’s approach to solving hard problems.

Success in this role means moving beyond transactional data pulls to provide deep, actionable insights that shape our operational strategy. You will need to balance technical depth with strong stakeholder management, navigating competing priorities and mentoring others to raise the team's collective bar. If you are a curious, resilient analyst who wants to see your work directly move the needle in the real world, this is where you’ll grow.

What you’ll do

• Design, build, and maintain automations to enhance efficiency and scalability
• Streamline workflows, automate entire processes, refactor, build data-pipelines
• Suggest innovative approaches to solve complex business problems, at scale, following the best practices in terms of quality, time management, technical documentation, code review
• Analyze business requirements or suggest improvements, proactively
• Conduct root cause analyses and propose data-driven strategies
• Present your work to Stakeholders and adapt your communication to a variety of audiences, using either technical or business terms

What you'll need

• Ability to write high quality code with best practices, in according to global standards
• Good knowledge in Python, API endpoints, Pandas Library, Apache Spark
• Knowledge in SQL, with the ability to select, clear and transform dataset
• Ability to analyze datasets accurately and storytell
• Knowledge in creating Flows (ex.: Lucidchart)
• Analytical and data-driven approach for solving complex problems
• Excellent written and spoken Communication (in English)
• Ability to work on your own initiative independently (proactive), in Group (excellent Teammate), and with Stakeholders
• Motivation to learn all along the way and improve continuously Scripts, with SQL and Python, to automate actions of varying sizes and time-horizons