Data Analytics Specialist 4

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.