Business Intelligence Engineer II, IES Shopping

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

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 2 years of Tableau Desktop Quicksight or other relevant data visualization software experience
- Bachelors degree or above in business administration finance economics computer science data science engineering or other related field or 2 years of Amazon RME (BB/3P) Full Time Exempt 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 using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling

- Masters degree or above in BI finance engineering statistics computer science mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level including: pivot tables macros index/match vlookup VBA data links etc.
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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