Business Intelligence Engineer II, IES Shopping

Job description

Smart Shopping Experience (SSE) has a vision to embed a data culture deeply in our IES Shopping Experience organization, fostering invention through insights, and building a robust data architecture to support business needs. We spin the insights flywheel by growing a pool of bar-raisers and diverse data professionals, which empowers us to continuously enhance our data capabilities, holistically covering disciplines of Data Engineering, Business Intelligence, Analytics, and Machine Learning.

We are looking for a candidate that demonstrated success working cross-functionally across internal and external teams. This candidate must have a track record of churning out actionable insights and make data backed recommendations that directly impact organizational strategic decisions and priorities. Being able to thrive in an ambiguous, fast-moving environment and prioritizing work is essential, as is a mind for innovation and learning through new technologies.

This role provides an opportunity to develop original ideas, approaches, and solutions in a competitive and ever-changing business climate.

Key job responsibilities

Key job responsibilities

Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership

Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities

Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems

Simplify and automate reporting, audits, and other data-driven activities

Partner with other BIEs to enhance data infrastructure, data availability, and broad access to customer insights

Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation

Learn new technology and techniques to meaningfully support internal stakeholders and process innovation