Reimagining transportation for a better world
Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...
Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...
Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...
Uber • Amsterdam, NLD
Uber is hiring an Analytics Engineer for their Global Strategy and Planning team to build scalable workflows and automated reporting tools. You'll work with SQL and Python to enhance data-driven decision-making. This role requires 2+ years of experience in analytics engineering or a related field.
You have 2+ years of experience in Analytics Engineering, Data Analytics, or a related field, or you hold an MSc in a quantitative discipline. Your mastery of SQL allows you to manipulate data effectively, ensuring high-quality data availability across global systems. You are proficient in Python, which you use to implement automations and streamline repetitive workflows. Your experience includes designing and maintaining scalable ETL/ELT pipelines, which are crucial for data infrastructure. You have a solid understanding of data modeling techniques, including Star Schema and entity-centric models, which you leverage to accelerate operations analytics. You are innovative and eager to experiment with GenAI use cases to automate insight generation for senior leadership. You thrive in cross-functional environments, acting as a technical consultant for Data Science, Engineering, and Operations teams to translate business needs into robust technical solutions.
In this role, you will design, build, and maintain scalable ETL/ELT pipelines that ensure high-quality data availability across global systems. You will develop sophisticated data models that enhance operations analytics, allowing stakeholders to interact with critical metrics seamlessly. Your responsibilities will include creating automated, high-impact dashboards and reporting products that facilitate fast, data-driven decision-making at Uber. You will experiment with and implement GenAI-driven tools to automate insight generation for senior leadership, ensuring that data is not just available but actionable. You will collaborate closely with Data Science, Engineering, and Operations teams, acting as a technical consultant to translate business needs into effective technical solutions. Your role will also involve implementing Python-based solutions to streamline repetitive operations workflows, contributing to the overall efficiency of the team.
Uber provides a dynamic work environment where you can grow your skills and make a significant impact on the company's data strategy. You will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals across various teams. The company values innovation and encourages you to bring your ideas to the table. You will be part of a culture that prioritizes data-driven decision-making and continuous improvement. Uber offers competitive compensation and benefits, fostering a supportive atmosphere for professional development.
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