Data Analyst

Uber is looking for Data Analysts to expand its new Team in Krakow.

The Krakow Center of Excellence is taking a new highway to become a major Technology Hub in Central & Eastern Europe, focusing on Process Optimization, Data Analytics & Automation.

About The Role

After creating queries and dashboards, you will proceed to significant data analyses in order to provide insightful recommendations to Stakeholders, and valuable inputs for strategic decisions.

As Data Analyst, you will work together with other Team Members: Process Optimization Specialists and Automation Specialists.

This is a great opportunity if you want to further develop your analytical skills, build sophisticated dashboards, use tools such as Data Studio, Google Sheets or Tableau and create actionable insights for large-scale operations, with concrete impacts.

About The Team

The team's mission: backing creativity with operational efficiency.

Based in the Krakow CoE, the team is cross-functional and supports operations at regional and global level.

We Focus On Four Core Areas

• Business Processes (design, execution, optimization)
• Automation (process automation, real-time monitoring, refactoring)
• Data Analytics (query, deepdive, self-operating dashboard, data pipeline)
• Data Science (modeling, machine learning, patterns identification, prediction)
  
  

The span of work is large, covering multiple verticals (such as Uber Rides, Eats, High Capacity Vehicle, Payment, Strategy & Planning) and Mega-Regions (such as Global, EMEA, US&C).

We're offering a hybrid model of working (60% minimum based out of our Krakow office, 40% optional work from home).

What You Will Do

• Analyze data, identify trends and build meaningful recommendations
• Present your results in a concise manner to international Stakeholders
• Design, lead & execute projects independently or in coordination with peers
• Conduct root cause analyses, build dashboards, prepare data-driven proposals
  
  

What you will need

• Good knowledge in SQL, Google Sheets
• Analytical and data-driven approach for solving problems
• Ability to work independently, on your own initiative
• Motivation to learn all along the way and improve continuously
• Excellent written and spoken Communication (in English)