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Data Analytics Specialist III - Automation Specialist

Uber

Data Analytics Specialist III - Automation Specialist

Uber

Krakow, Poland

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Parental leave

Competitive salary and equity package

Team events and activities

401(k) matching

Comprehensive health, dental, and vision insurance

Learning

Parental Leave

Equity

Healthcare

Required Skills

JavaScript

React

Node.js

About Us

Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.

Size: 10000+ employees
Industry: Technology

View Company Profile

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:

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  • 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

  • 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,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.

Client-provided location(s): Krakow, Poland

Job ID: Uber-151361

Employment Type: FULL_TIME

Posted: 2026-01-30T19:54:07
Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Health Reimbursement Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • FSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Mental Health Benefits

Parental Benefits

Fertility Benefits:

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Pet-friendly Office
  • Snacks
  • Some Meals Provided
  • On-Site Cafeteria

Vacation and Time Off

  • Paid Vacation
  • Unlimited Paid Time Off
  • Paid Holidays
  • Personal/Sick Days
  • Sabbatical
  • Volunteer Time Off

Financial and Retirement

  • 401(K)
  • Company Equity
  • Performance Bonus

Professional Development

  • Work Visa Sponsorship
  • Associate or Rotational Training Program
  • Promote From Within
  • Mentor Program
  • Access to Online Courses

Diversity and Inclusion

  • Employee Resource Groups (ERG)
  • Diversity, Equity, and Inclusion Program

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About Uber

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

Reviews

3.1

10 reviews

Work Life Balance

4.2

Compensation

2.3

Culture

3.5

Career

2.0

Management

2.5

45%

Recommend to a Friend

Pros

Flexible hours and schedule

Meeting different people and cultures

Make your own hours

Cons

Inconsistent and low pay

Safety concerns with passengers

Traffic and difficult drivers

Salary Ranges

23,534 data points

Mid/L4

Mid/L4 · Data Analyst

3 reports

$209,300

total / year

Base

$161,000

Stock

-

Bonus

-

$203,580

$209,300

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 80%

Neutral 20%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Phone Screen

5

Case Study/Analytics Test

6

Final Loop/Panel Interview

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge