Data Analytics Specialist III - Automation Specialist
- Uber Technologies Inc.
- Kraków, Poland
- PLN 120,000 – PLN 180,000
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
Ready to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Skills
- Python
- SQL
- Data Pipeline Development
- ETL
- Automation
- Data Analysis
- Stakeholder Management









