At Amazon we are working to be the most customercentric company on earth. To get there we need exceptionally talented bright and driven people. Amazons Consumables Virtual MultiPack (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 multipack ASIN that can be merchandized individually and variated to the already existing singlepack 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 datadriven actions. The individual must exercise strong judgment and autonomy in the identification and 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 scale to 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 longterm vision.
Build own and maintain WBR and reporting mechanisms used by 300 users across Amazon.
Support WW expansion to new marketplaces.
Holistically architecting an endtoend 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.
Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to drive business operating leverage.
Building insightsoriented visualization tools in Quicksight or Tableau to enhance existing ways of work for product managers program managers finance partners and stakeholder partner teams.
Challenging existing process and work streams with datadriven insights that offer alternatives that are cost neutral or favorable but drive much more scalable .
Partnering 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.
Scaling roadmap and solutions across categories by ensuring crosscompany impact is measured and supported by stakeholder businesses.
Understanding the value chain within the broader Amazon site experience to inform new insights on customer engagement.
Developing 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.
5 years of SQL experience
Experience programming to extract transform and clean large (multiTB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval data science machine learning and data mining
Strong working knowledge of AWS cloud Redshift AWS Andes Glue
Background (academic or professional) in statistics programming and marketing
Experience working directly with business stakeholders to translate between data and business needs
Experience managing analyzing and communicating results to senior leadership
Graduate degree in math/statistics computer science or related field is highly desirable.
Excellent communication skills equally adept at working with engineers as well as business leaders
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117300/year in our lowest geographic market up to $202800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.