Description
The Analytics Engineer owns the full data lifecycle from ingestion and transformation through modeling, analysis, and insight delivery. The role builds scalable data pipelines and models, supports Azure and Snowflake infrastructure, develops Power BI dashboards, uses Python and SQL for automation and analytics, and collaborates with data engineers, analysts, and business stakeholders across supply chain, operations, and finance. The position requires 3–5 years of experience, a relevant university or college degree, and familiarity with data extraction, Python or R, BI tools, ETL/ELT, cloud platforms, and data modeling.
