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Business Intelligence Engineer, IN Value Commerce
Job Location:
Monthly Salary:
Posted:
7 August 2026 (15 hours ago)
Posted:
Application Deadline:
4 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
We are seeking a data-driven Business Intelligence Engineer (BIE) to join the IN Value Commerce this role you will be responsible for building scalable analytics solutions creating actionable insights and developing automated reporting frameworks to drive growth in the <500 segment.
You will work closely with business stakeholders product managers and SDEs to:
1) Define and track key metrics related to selection health selection gaps catalog coverage and customer demand signals in the <500 price band.
2) Build and maintain data pipelines and ETL processes to support reporting and analytics needs for the Value Commerce program.
3) Develop dashboards and self-service BI tools (QuickSight Tableau or equivalent) to enable stakeholders to monitor selection KPIs glide paths and WBR/MBR metrics.
4) Conduct deep-dive analyses to identify selection gaps competitive benchmarking insights and growth opportunities within the <500 space.
5) Automate reporting workflows to reduce manual effort improve data freshness and scale analytics.
Improve data quality and governance by defining data contracts validation checks and documentation standards for the teams data assets.
About the team
The IN Value Commerce team manages sub 500 price segment units growth and customer growth. The team works cross-functionally with Category Seller Marketing and Product teams to unlock selection improve pricing improve discoverability to deliver sub 500 input and output goals.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with scripting language (e.g. Python Java or R)
- Experience building and maintaining basic data artifacts (e.g. ETL data models queries)
- Experience gathering business requirements using industry standard business intelligence tool(s) to extract data formulate metrics and build reports
- Knowledge of BI analytics reporting or visualization tools like Tableau AWS QuickSight Cognos or other third-party tools
- Knowledge of data modeling and data pipeline design
- Masters degree or Advanced technical degree
- Experience with statistical analysis co-relation analysis
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
You will work closely with business stakeholders product managers and SDEs to:
1) Define and track key metrics related to selection health selection gaps catalog coverage and customer demand signals in the <500 price band.
2) Build and maintain data pipelines and ETL processes to support reporting and analytics needs for the Value Commerce program.
3) Develop dashboards and self-service BI tools (QuickSight Tableau or equivalent) to enable stakeholders to monitor selection KPIs glide paths and WBR/MBR metrics.
4) Conduct deep-dive analyses to identify selection gaps competitive benchmarking insights and growth opportunities within the <500 space.
5) Automate reporting workflows to reduce manual effort improve data freshness and scale analytics.
Improve data quality and governance by defining data contracts validation checks and documentation standards for the teams data assets.
About the team
The IN Value Commerce team manages sub 500 price segment units growth and customer growth. The team works cross-functionally with Category Seller Marketing and Product teams to unlock selection improve pricing improve discoverability to deliver sub 500 input and output goals.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with scripting language (e.g. Python Java or R)
- Experience building and maintaining basic data artifacts (e.g. ETL data models queries)
- Experience gathering business requirements using industry standard business intelligence tool(s) to extract data formulate metrics and build reports
- Knowledge of BI analytics reporting or visualization tools like Tableau AWS QuickSight Cognos or other third-party tools
- Knowledge of data modeling and data pipeline design
- Masters degree or Advanced technical degree
- Experience with statistical analysis co-relation analysis
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
About Company
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