Senior Supply Chain Analytics Engineer
Core
Design and build scalable data pipelines, models, and dashboards to transform operational supply chain data into actionable insights for leadership decisions.
Role type
Senior Analytics Engineer (Supply Chain Data Strategy)
Builds
Analytics-ready datasets, dashboards, and reporting tools for supply chain visibility
Domain
Technology infrastructure supply chain (Data Center capacity planning, sourcing, and delivery)
Deliverable
dashboards & analysis
Required skills
SQL, modern data warehouse (Snowflake/BigQuery/Redshift), ETL/ELT (dbt/Airflow), BI tools (Tableau/Power BI/Looker), Python, supply chain data domains, ERP systems
Preferred skills
Data quality/governance tools, agentic AI/LLM for analytics, forecasting/optimization models, global supply chain operations in Data Center Build, statistics/ML techniques
Technologies
Snowflake, BigQuery, Redshift, dbt, Airflow, Fivetran, Tableau, Power BI, Looker, SAP S/4HANA, SAP ECC, Oracle NetSuite
Responsibilities
Design and maintain data pipelines ingesting data from ERP, procurement, and logistics systems; Develop dashboards tracking KPIs like lead time, spend, and inventory; Build data models for forecasting and capacity analysis; Partner with governance teams to ensure clean data; Collaborate with cross-functional teams to translate business questions into solutions; Automate reporting processes; Identify and resolve data quality issues; Support ERP implementations as analytics lead; Present findings to senior leadership
Seniority
Senior, hands-on IC