Amazon

Bengaluru (Bangalore), Karnataka

Business Intelligence Engineer II, Customer Returns , Amazon

Posted 6 Sept 2026 · Mid level · Full time

The job in two lines

This role involves analyzing and visualizing data to generate business insights, presenting recommendations to leaders, and driving the implementation of those recommendations. The work includes data manipulation, modeling, and automation to support business and product growth.

Summary by Rezifi's AI, from Amazon’s posting. Years and pay appear only when the posting states them.

What you'd do

  • Analyze and visualize data to generate insights and recommendations
  • Present recommendations to business leaders and drive decisions
  • Develop and recommend metrics and dashboards for business and product growth
  • Drive insights for new product innovations
  • Automate key business metrics

Skills it is built around

  • Amazon Redshift
  • SQL
  • Python

Required

  • Oracle Database
  • NoSQL
  • Tableau
  • Amazon QuickSight
  • R
  • SAS
  • MATLAB

Nice to have

  • Amazon Web Services
  • Amazon EC2
  • Amazon DynamoDB
  • Amazon S3
  • data mining
  • data extraction, transformation and loading tools

The facts

Experience
3+ years
From the posting: “3+ years of analyzing and interpreting data”
Pay
Not stated
The posting states no pay.
Level
Mid level
Field
Business intelligence

The full posting

From Amazon’s careers site

As Amazon posted it. See the original

As a Business Intelligence Engineer II, you will be a core member of the Returns & CoBW team for India and Emerging Markets . You will serve as liaison between the Returns Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, automation, dashboard creation and communication of insights and recommendations.

Key job responsibilities
- Analyze and visualize data to generate insights for business and report with recommendation.

- Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations.

- Develop and recommend metrics, dashboards that supports Business and Product growth.

- Drive insights for new product innovations

Drive automation of key business metrics

Basic qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred qualifications

- 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

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