Business Intelligence Engineer II, IES Shopping
Core
Conduct deep dive analyses of business problems, formulate actionable insights and recommendations for leadership, and design/deliver BI solutions to support strategic decisions.
Role type
Senior Business Intelligence Engineer (Data Analytics & Visualization)
Builds
BI solutions, automated reporting, and data-driven insights for organizational strategy
Domain
E-commerce / Retail / Data Analytics
Deliverable
dashboards & analysis
Required skills
SQL, Python, Tableau, Amazon Redshift, Data Warehousing, ETL, Statistical Analysis (R/SAS/Matlab), Data Modeling
Preferred skills
Advanced Excel (VBA/Macros), AWS (EC2/DynamoDB/S3), Data Mining, Metric Development
Technologies
Redshift, Oracle, NoSQL, Tableau, Quicksight, R, SAS, Matlab, Python, AWS
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
Seniority
Mid-Senior, hands-on IC
