Supply Chain Data Engineer

About the Role

Seeking a Supply Chain Data Engineer to assist in developing a scalable Planning Analytics and Automation capability for data-driven decision-making across a complex, global supply chain. This role involves defining strategy, standards, and roadmaps for planning analytics, transforming fragmented data into integrated, enterprise-level solutions for SIOP and operational execution. The position combines advanced analytics, data engineering, and supply chain processes to translate business challenges into scalable analytical frameworks, predictive models, and system-enabled decision support tools.

Key Responsibilities

Data Automation & Process Transformation

• Assist in transforming fragmented, manual planning processes into scalable, automated analytics workflows.
• Define and implement scalable data pipelines and data models integrating ERP, planning systems, and external data sources.
• Drive standardization of data flows and reduce dependency on manual data manipulation and spreadsheets.
• Partner with IT to ensure analytics solutions align with enterprise architecture and are scalable for global deployment.

Advanced Analytics, Modeling & Decision Support

• Support the design and deployment of predictive and prescriptive models for supply chain decision-making, including:
• Demand forecasting and signal consumption.
• Inventory optimization and policy setting.
• Capacity, backlog, and shortage modeling.
• Supplier performance and risk analytics.
• Support monthly scenario planning and what-if analysis for SIOP and executive decision-making.
• Provide structured analysis of trade-offs across supply, demand, cost, and service.
• Translate complex analytical outputs into clear, actionable recommendations for all stakeholders.

Enterprise Integration & Cross-Functional Collaboration

• Assist cross-functional alignment between Planning, Operations, Procurement, Logistics, Finance, and IT to define requirements and embed analytics into business processes.
• Serve as the bridge between business and technology, ensuring solutions are practical, adopted, and sustained.
• Partner with IT to deploy models, dashboards, and workflows into production environments with enterprise-grade performance and governance.

Data Governance & Standards Ownership

• Outline data governance for planning analytics, including:
• Data quality standards.
• Metric definitions.
• Reporting consistency across sites.
• Establish frameworks for data validation, monitoring, and continuous improvement.
• Ensure alignment with enterprise data platforms, security, and compliance requirements.

Planning Analytics Strategy & Capability Development

• Propose actions for the development of the Planning Analytics & Automation capability, defining standards, tools, and roadmaps to scale analytics across the global supply chain.
• Establish and standardize data models, KPIs, and planning metrics for consistency and comparability across sites and functions.
• Identify and prioritize high-impact use cases to improve planning performance, decision speed, and visibility across SIOP and execution.
• Drive adoption of analytics tools and insights across planning, operations, and leadership teams.

Requirements & Tech Stack

Preferred Qualifications

• Experience with:
• Python or R.
• SQL (data extraction, transformation, performance optimization).
• Power BI, Tableau, or similar BI tools.
• Oracle (preferred).
• CSCP certification.
• Understanding of end-to-end supply chain processes (demand, supply planning, production, inventory, logistics), preferably in a high-mix, low-volume environment.
• Demonstrated ability to design and deploy scalable analytics solutions, not just one-off analyses.
• Ability to translate complex data into business insights and high-level recommendations.
• Experience working with enterprise data environments, including ERP systems and cross-functional datasets.
• Experience with supply chain planning systems (Kinaxis, SAP IBP, or similar).
• Experience with cloud data platforms (Azure, AWS, Snowflake).

Skills

• Communication
• Cross-Functional Collaboration
• Data Analysis
• Data Reporting
• Data Science
• Enterprise Resource Planning (ERP)
• Inventory Logistics
• Supply Chain
• Supply Chain Inventory Management
• Supply Chain Logistics

Education & Experience

• No previous professional experience required.