Data Analytics Specialist III - Automation Specialist

Data Analytics Specialist III - Automation Specialist Department: Community Operations Team: Community Operations Location: Krakow, Poland Type: Full-Time **Automation Specialist** Uber is expanding its Krakow Center of Excellence into a leading Technology Hub for Central & Eastern Europe. We are seeking Automation Specialists to design, build, and maintain automation solutions that streamline operations and enable Uber to scale seamlessly across Rides and Eats. **About the role** You will develop automations of varying size and complexity, from medium-scale tasks to large-scale business processes, fully automated end-to-end. As an Automation Specialist, you will be responsible for building solutions that are resilient, scalable, and adaptable, following best practices and continuously refining them with data-driven improvements. You will translate business requirements into clear technical tasks, delivering automation solutions iteratively and incrementally, and aligning priorities closely with the Operations Coordinator. **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'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 o