Data Analytics Specialist III - Automation Specialist
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 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
- Good knowledge in Python, with the ability to write code to build self-operating dashboards or automate business action, work with API endpointes and use Pandas Library
- Knowledge in SQL, with the ability to select, clear and transform dataset
- Ability to analyze datasets accurately and storytell
- Knowledge in creating Flows (ex.: uWorc, 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.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.
Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
See our Candidate Privacy Statement
Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.
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