The Job

Business Intelligence Engineer II, IES Shopping

Technology, Data & Digital · Data, AI & Analytics · Business Intelligence · Data Engineering · Data Analysis

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In short

We are looking for a Business Intelligence Engineer II to join the Smart Shopping Experience team in Bengaluru, Karnataka. This role involves conducting deep dive analyses, contributing to BI solutions, and enhancing data infrastructure to foster a data culture and drive strategic decisions through actionable insights. Experience with data analysis tools, ETL pipelines, and data visualization is essential.

Responsibilities

  • Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership
  • Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities
  • Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
  • Simplify and automate reporting, audits, and other data-driven activities
  • Partner with other BIEs to enhance data infrastructure, data availability, and broad access to customer insights
  • Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
  • Learn new technology and techniques to meaningfully support internal stakeholders and process innovation

Requirements

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
  • Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL (Structured Query Language) to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Desired Qualifications

  • Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
  • Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Benefits

  • Inclusive culture empowers Amazonians to deliver the best results for our customers.
#Business Intelligence#Data Engineering#Analytics#Machine Learning#Data Architecture#BI solutions#Reporting#Audits#Data integrity#Data modeling#ETL pipelines#Statistical Analysis#Data visualization
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Company

Amazon

Job Posted

5 days ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Bengaluru, India

Qualification

Bachelor, Master

Applicants

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