What are the responsibilities and job description for the Analytics Engineer position at Shaw Contract EMEA?
Job Title
Analytics Engineer
Position Overview
The Data Engineer – Supply Chain / Planning & Forecasting designs, builds, and maintains the data foundation that enables accurate demand and supply planning, inventory optimization, and scenario-based forecasting. This role focuses on ensuring planning-critical data (product, process, routings, alternates, constraints, and performance signals) is trusted, governed, accessible, and actionable across planning tools and analytics environments.
Key Responsibilities
Planning Data Pipelines & Integration
8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM
Shaw Industries is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.
Analytics Engineer
Position Overview
The Data Engineer – Supply Chain / Planning & Forecasting designs, builds, and maintains the data foundation that enables accurate demand and supply planning, inventory optimization, and scenario-based forecasting. This role focuses on ensuring planning-critical data (product, process, routings, alternates, constraints, and performance signals) is trusted, governed, accessible, and actionable across planning tools and analytics environments.
Key Responsibilities
Planning Data Pipelines & Integration
- Build and maintain scalable pipelines that deliver planning-ready datasets for forecasting, supply planning, inventory targets, and performance management.
- Integrate data across manufacturing, planning, sourcing, and operational systems to support end-to-end planning visibility.
- Build datasets and analytical views that support planning KPIs, forecast governance, and performance measurement (e.g., planning health, data health, adherence
- Create or maintain dashboards and monitoring tools that surface exceptions and improve planning decision speed and quality.
- Partner with schedulers, analysts, and business stakeholders to translate supply chain questions into robust data products.
- Identify and implement internal process improvements (automation, scalability, reliability, and reduced manual work).
- Train and coach others on data governance structures and best practices.
- Strong SQL skills (ability to write SQL) and working proficiency in Python; ability to work with large datasets and draw sound conclusions.
- Experience with visualization / analytics tools such as Tableau (or comparable).
- Strong analytical ability (cause/effect thinking, selecting key drivers, tying processes together).
- Solid understanding of manufacturing/process complexity and supply chain fundamentals, especially as they impact planning.
- Clear communication skills and ability to influence across teams; strong organization and execution.
- Experience with planning platforms and reporting ecosystems (internal planning tools and data warehouse environments) and master data management concepts.
- Background in planning, manufacturing, operational analytics, or supply chain technology roles.
- Innovate
- Adapt to Change
- Execute Action Plan
- Plan and Organize
- Delivering Compelling Communication.
- Build Trusting Relationships
- More reliable forecasting inputs and governance through higher-quality planning data.
- Faster planning cycles and fewer manual workarounds via automated pipelines and exception monitoring.
- Better supply/inventory decisions through consistent, end-to-end datasets that connect manufacturing realities to planning outputs.
8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM
Shaw Industries is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.