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Business Analyst

Full Time On Site (Full Time) @Uber in Other
  • Hyderabad, Telangana, India View on Map
  • Post Date : September 26, 2021
  • Apply Before : October 26, 2021
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Job Description

About the job

About The Role

At Uber, the Business Analysts will help drive analysis behind decisions related to operations, processes, and optimizations. They create, maintain, and communicate detailed reporting models to assist regional, and global operations. The role largely requires developing analytical frameworks to support the company in new markets and products. They need to be a big-picture problem solver and strategic partner. They also need to demonstrate analytical thinking through data-driven decisions and possess the technical know-how, fascination, and ability to work with your team to make a big impact.

Role Complexity

  • Maturity of the LOB: High
  • Decision Making: High
  • Level of Independence: High
  • Modality Proficiency: High

Business Impact

  • Single Point of Contact: High
  • Back-up Support/Backfill: High
  • Partner Impact: High

What You’ll Do

  • Extract data from multiple databases independently
  • Build dashboards independently using SQL / Google Suite / Data Studio
  • Create dashboards using DashBuilder / R Shiny with supervision
  • Generate trends by integrating data from various sources into a cohesive story and present findings and recommendations clearly

What You’ll Need

  • Preferred work experience of at least 1 year doing data processing, analysis, and/or automation work in Finance / Tech / FMCG / Consulting companies
  • Strong working knowledge of any querying language, especially SQL
  • Proficient in one or more tools (e.g. Data Studio, Dashbuilder, Querybuilder, Python, R, Shiny, etc)
  • Experience in handling partner expectations and able to understand the business need behind the request.

Good to Have/Bonus points

  • Proven leadership capability and/or demonstrated independent ability to deliver output that matches or exceeds partner expectations
  • Application of Statistical Modelling and Machine Learning Algorithms to tackle some of the most complex Business Problems
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