**#Greatmindsdontthinkalike:** At Uber, we take pride in our diversity and working environment that sees you as more than just a person that can do the job, but an outstanding individual that can level up our organization with a perspective only you can offer. Uber provides a truly open culture that encourages all to voice their thoughts. **About the Team** Community Operations is the heart and soul of our **#BuildWithHeart** approach at Uber. We work with customers, people earning money on the platform and partners at enormous scale. Community Operations helps operationalise every new and existing product and idea that Uber comes up with - it’s an organisation that touches every part of Uber! **About the Role** You will work with the Global Data Infrastructure and Strategy team to enhance their decision-making through your business and analytical expertise. In this role, you'll play a key part in maintaining and governing global customer support data. The ideal candidate should possess advanced SQL knowledge, basic Python skills, strong analytical abilities, and excellent time management and organizational skills. Additionally, the ability to clearly communicate and present information to build consensus is essential for success in this role. **Your Impact in Role:** - Ensure the maintenance, quality, and accessibility of the data - Proactively address issues identified in the data tables and queries - Modify data sources (tables/queries) to support new product launches - Develop and maintain queries, tables, data models, and data pipelines to meet global requirements - Analyze and optimize existing queries and data pipelines to enhance system efficiency - Collaborate with various teams and stakeholders to align on necessary changes - Provide mentorship to junior team members - Lead data infrastructure projects for the larger team **The Experience You'll Bring:** - Advanced SQL - Sophisticated skills in Excel/Sheets - Entry-level ability in Python - Stakeholder Management Preferred Qualifications: - Familiarity with Hive, Presto, or Spark SQL - Familiarity with Hadoop data storage concepts - Experience in data modeling or ETL pipeline development is a plus