Supply Chain Analytics Engineer II

Role Overview

The Analytics Engineer II bridges business operations, Data Engineering, and Business Intelligence by applying knowledge of Supply Chain processes, system workflows, and data relationships to develop trusted data products, scalable semantic models, and AI-enabled analytical capabilities.

What You Will Do

Partner with business stakeholders to understand Supply Chain operations, design and build curated datasets, semantic models, and reusable analytical products, and apply SQL, data transformation techniques, and data modeling practices to integrate, validate, and transform complex data.

Why It Might Be a Fit

The role requires a strong understanding of Supply Chain operations, business processes, system workflows, and data structures, as well as experience with data engineering, business intelligence, and AI-enabled analytics.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Statistics, Supply Chain, or a related field
• Analytics engineering, business intelligence, data management, data engineering, or a related discipline
• Proficient SQL, multi-source data transformation, dimensional or semantic modeling, data-quality testing, documentation, production support, and delivery of analytical data products
• Experience working with cloud-based data and analytics platforms (e.g. Databricks, Snowflake, Azure, AWS, Google Cloud)
• Experience developing datasets and analytical solutions using business intelligence and self-service analytics platforms (e.g. Cognos, Power BI, Qlik)
• Familiarity with metadata management, data lineage, documentation, and data catalog practices that promote data quality, discoverability, and governance