Post Name Business Analyst Date August 07, 2023 Short Info. Amazon.com Inc (Amazon) is an online retailer and web service provider. The company provides products such as apparel, auto and industrial items, beauty and health products, electronics, grocery, games, jewelry, kids and baby products, music, sports goods, toys, and tools.
Amazon Recruitment 2023 Overview
Company Name | Amazon |
Post Name | Business Analyst |
Job Type | Full Time Job |
Experience | 0 to 2 years |
Function/Business Area | E Commerce |
Location | Bangalore |
Category | sales |
Official Website | Amazon |
Salary | UPTo 3.0LPA + Incentives |
About Amazon Company
Why You Should Join
Transportation team in Hyderabad is looking for an innovative, hands-on and customer-obsessed Business Analyst for its Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.
Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.
This job requires you to constantly hit the ground running and have the ability to learn quickly.
Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams
Education Requirement
- – 1+ years of tax, finance or a related analytical field experience
– 2+ years of complex Excel VBA macros writing experience
– Bachelor’s degree or equivalent
– Experience defining requirements and using data and metrics to draw business insights
– Experience with SQL or ETL
Skills Requirement
– Experience working with Tableau
– Experience using very large datasets