Data Analytics Specialist IV

About the role and team The Community Operations organization at Uber is where real people solve real problems in real time. As a senior member of the Data & Analytics team, you are more than an analyst; you are a strategic partner who turns massive, messy datasets into a competitive advantage for our global support network. You’ll build the statistical models and automated tools that allow us to move with both urgency and care, ensuring our leadership makes high-stakes decisions based on rigorous evidence rather than intuition. Success in this role requires a mindset that thrives on complexity and the grit to navigate technical debt and shifting priorities. You’ll need to balance deep-dive data mining with strong stakeholder management, often leading projects end-to-end and mentoring others to raise the bar for the entire team. If you are a technical leader who stays calm under pressure and is motivated by the challenge of solving the "hard stuff" in a high-stakes environment, this is where you’ll grow. What you’ll do Conceptualize and build high-impact, automated reports and dashboards that serve as the single source of truth for global operational efficiency. Perform advanced data mining and statistical modeling to identify hidden trends and operational weaknesses, unblocking inefficiencies before they impact our users. Lead business deep dives to generate actionable insights, translating complex technical findings into clear narratives that guide leadership through ambiguous trade-offs. Build and maintain scalable statistical tools that empower our operational teams to make data-backed decisions in real time. Measure the real-world impact of new processes and policy changes, providing the quantitative proof needed to scale or pivot our support strategies. Mentor and train team members on technical best practices in SQL, Python/R, and data modeling, fostering a culture of engineering and analytical excellence. Navigate and align conflicting stakeholder priorities, managing projects end-to-end to ensure analytical solutions are delivered at speed. Basic Qualifications 2+ years of experience in data analytics or a related technical field. Strong proficiency in SQL and experience with web-based query tools. Hands-on experience with Python and data manipulation. Experience with data visualization tools (e.g., Tableau or Looker). Proven stakeholder management skills and basic project management experience. High school diploma or equivalent experience. Preferred Qualifications Experience with Python for building predictive models or complex data pipelines. Experience with Google Scripting to automate internal workflows and increase team velocity. Demonstrated ability to navigate high-ambiguity environments and lead through influence rather than control. Systems-thinking approach with a track record of building long-lasting artifacts that reduce technical debt. Experience in working with AI tools in relation to any data related process.