Supply Chain Analytics Engineer II
Core
Build trusted data products, scalable semantic models, and AI-enabled analytical capabilities to support supply chain operations and operational decision-making.
Role type
Senior Analytics Engineer (Supply Chain)
Builds
Curated datasets, semantic models, governed metrics, and business-ready data assets for reporting and AI solutions.
Domain
Supply Chain / Data Engineering
Required skills
SQL, dimensional/semantic modeling, data transformation, data quality testing, data governance, metadata management, data lineage, version control (Git), cloud data platforms (Databricks, Snowflake, Azure, AWS, Google Cloud), ETL/ELT frameworks, Kafka, FTP, BI tooling (Cognos, Power BI, Qlik)
Preferred skills
Supply chain domain expertise, Manhattan system experience, certifications in analytics engineering or data governance
Responsibilities
Partner with stakeholders to translate business needs into scalable analytics solutions; design and maintain semantic layers and certified datasets; validate source-to-target data flows and assess data quality; monitor production data products and triage reliability incidents; support data integrations and orchestration processes; provide technical guidance and knowledge transfer to downstream teams.
Seniority
Senior, hands-on IC
