Analytics Engineer

Shaw Industries • Dalton, GA

7d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.
• Analytics Enablement for Planning & Forecasting 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.
• Stakeholder Partnership & Continuous Improvement 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees