Business Intelligence Engineer, LeeP & VMP, LeeP & VMP

DESCRIPTION

At Amazon.com we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon’s 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 Amazon.com 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

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 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

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
• Master’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $89,600/year in our lowest geographic market up to $185,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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