Business Intelligence Engineer II

Business Intelligence Engineer II

The Business Intelligence Engineer (BIE) is an innovative, results-driven professional who 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 cross-category, Technology, and Operations partnerships.

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 teams, and high ownership to deliver successful results will be essential.

Key job responsibilities include:

• Holistically architecting an end-to-end BI landscape that activates reporting, analysis & insights for the SnS business that includes building and harvesting datasets, data pipelines, ETL, application of custom logic, data visualization & storytelling to drive the business forward.
• Creating new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.
• Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support the creation of new capabilities to drive business operating leverage.
• Building insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for product managers, program managers, vendor managers, finance partners, and stakeholder partner teams.
• Challenging existing process and work streams with data-driven insights that offer alternatives that are cost-neutral or favorable, but drive much more scalable execution.
• Partnering across the SnS teams as well as the central CADE 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 cross-company impact is measured and supported by stakeholder businesses.
• Developing a knowledge repository for SnS data intelligence as part of an evolving center of excellence that can be referred to outside of the SnS business.