BI Tech Lead
Core
Building scalable data pipelines, curated datasets, and analytics solutions to enable end-to-end visibility across supply chain operations.
Role type
Lead Data Engineer (Supply Chain Analytics)
Builds
Reliable data assets, analytics solutions, and data products for supply chain planning, inventory, procurement, and logistics.
Domain
Supply Chain / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering (ETL/ELT, pipelines, modeling), Cloud platforms (AWS, Databricks, Redshift), SQL, Python, Distributed processing (Spark), ERP systems (SAP), Supply chain domain knowledge (planning, inventory, procurement, logistics), Data quality & governance, BI tools (Power BI)
Preferred skills
Advanced degree, Experience with advanced analytics/ML use cases, Real-time data processing or streaming frameworks
Technologies
AWS, Databricks, Redshift, Spark, SAP, Power BI
Responsibilities
Design and maintain ETL/ELT pipelines integrating ERP, CRM, and supply chain systems; Develop and optimize data ingestion, transformation, and processing workflows; Partner with Supply Chain teams to deliver data solutions supporting planning and inventory operations; Build and maintain curated datasets and data models aligned with supply chain KPIs; Prepare and manage datasets for forecasting, optimization, and advanced analytics use cases; Apply and enforce data quality checks, data governance standards, and master data practices
Seniority
Senior, hands-on IC
