BIE , IES Shopping
Core
Build effective measurement frameworks and deliver actionable insights using data mining, statistical, and machine learning techniques to improve shopper experience and drive marketing initiatives.
Role type
Business Intelligence Engineer (Data Analytics & ML)
Builds
Interactive visualization dashboards, reporting, and measurement frameworks for business performance.
Domain
E-commerce / Retail / Data Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Exploratory data analysis, statistical methods (t-test, Chi-squared), machine learning techniques, data mining, data modeling, ETL, SQL, Python, Java, R, Tableau, QuickSight, NoSQL, Oracle, Redshift
Preferred skills
Data pipeline design, correlation analysis, advanced technical degree
Technologies
Redshift, Oracle, NoSQL, Tableau, QuickSight, Python, Java, R
Responsibilities
Conduct end-to-end deep dives using exploratory data and statistical analysis; Interface with cross-functional stakeholders to gather data and metrics requirements; Develop interactive and flexible visualization dashboards; Perform data modeling and data extraction through ETL and SQL.
Seniority
Mid-level, hands-on IC