Business Intelligence Engineer, LeeP & VMP, LeeP & VMP
Business Intelligence Engineer, LeeP & VMP, LeeP & VMP
Posted on :
05-07-2025
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1 Vacancy
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Job Description
At we are working to be the most customer-centric company on earth. To get there we need exceptionally talented bright and driven people. Amazons Consumables Virtual Multi-Pack (VMP) program is looking for a business intelligence leader to drive strategic operational & technical initiatives. VMP takes an existing single -pack product and creates a new multi-pack ASIN that can be merchandized individually and variated to the already existing single-pack offer. Customers benefit from simple access to a variety of pack sizes that present improved value while Amazon can benefit from shipping consolidation lowering our cost to serve customers.
The Business Intelligence Engineer (BIE) is an innovative results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on Business Science Technology and Operations partnerships. This role will impact and inform how Amazon executes its VMP strategy across its Everyday Essentials business. The individual should possess a track record of successful relationship management strong business and analytical acumen and experience working with technology and engineering teams. Great communication skills ability to think big and influence across Amazon teams and high ownership to deliver successful results will be essential.
Key job responsibilities
- Engage across product tech and finance teams to lead the data strategy powering growth and savings for the VMP program
- Collaborate with science teams to build out pack size prediction models leveraging ML and Amazons wide array of catalog sales data
- Work with tech to design data structures that can support reporting needs and analysis of a rapidly expanding program growing over 100% YoY.
- Perform deep dives to help make business recommendations that guide the product strategy and long-term vision
- Build own and maintain WBR and reporting mechanisms used by 300 users across Amazon
- Support WW expansion to new marketplaces
- Architect end-to-end BI landscape that activates reporting analysis & insights for the VMP program that includes building and harvesting datasets data pipelines ETL application of custom logic data visualization & storytelling to drive the business forward
- Improve auditing tools to understand relevant inputs and identify gaps in technology systems to support the creation of new capabilities to drive business operating leverage
- Build insight-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for product managers program managers finance partners and stakeholder partner teams
- Challenge existing processes and work streams with data-driven insights that offer alternatives that are cost neutral or favorable but drive much more scalable execution
- Partner across the Everyday Essentials tech teams as well as the central Data Engineering team to create an intelligence roadmap that addresses core areas for automation scale and business financial productivity
- Scale roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses
- Understand the value chain within the broader site experience to inform new insights on customer engagement
- Develop a knowledge repository for VMP data intelligence as part of an evolving center of excellence that can be referred to outside of the VMP business
- 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 data modeling warehousing and building ETL pipelines
- 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
- 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
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with forecasting and statistical analysis
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
The Business Intelligence Engineer (BIE) is an innovative results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on Business Science Technology and Operations partnerships. This role will impact and inform how Amazon executes its VMP strategy across its Everyday Essentials business. The individual should possess a track record of successful relationship management strong business and analytical acumen and experience working with technology and engineering teams. Great communication skills ability to think big and influence across Amazon teams and high ownership to deliver successful results will be essential.
Key job responsibilities
- Engage across product tech and finance teams to lead the data strategy powering growth and savings for the VMP program
- Collaborate with science teams to build out pack size prediction models leveraging ML and Amazons wide array of catalog sales data
- Work with tech to design data structures that can support reporting needs and analysis of a rapidly expanding program growing over 100% YoY.
- Perform deep dives to help make business recommendations that guide the product strategy and long-term vision
- Build own and maintain WBR and reporting mechanisms used by 300 users across Amazon
- Support WW expansion to new marketplaces
- Architect end-to-end BI landscape that activates reporting analysis & insights for the VMP program that includes building and harvesting datasets data pipelines ETL application of custom logic data visualization & storytelling to drive the business forward
- Improve auditing tools to understand relevant inputs and identify gaps in technology systems to support the creation of new capabilities to drive business operating leverage
- Build insight-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for product managers program managers finance partners and stakeholder partner teams
- Challenge existing processes and work streams with data-driven insights that offer alternatives that are cost neutral or favorable but drive much more scalable execution
- Partner across the Everyday Essentials tech teams as well as the central Data Engineering team to create an intelligence roadmap that addresses core areas for automation scale and business financial productivity
- Scale roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses
- Understand the value chain within the broader site experience to inform new insights on customer engagement
- Develop a knowledge repository for VMP data intelligence as part of an evolving center of excellence that can be referred to outside of the VMP business
- 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 data modeling warehousing and building ETL pipelines
- 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
- 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
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with forecasting and statistical analysis
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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