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Uber Recruitment Drive; Hiring Data Analyst – Apply Now


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! Candidates are advised to apply soon, before the link expires

Name of the Organization: Uber

Requisition ID: 134984

Positions: Data Analytics Specialist III

Location: Hyderabad

Salary: As per company Norms

Educational Qualifications:

  • Graduate
  • 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

Job Description:

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.

Responsibilities:

  • 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

 

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