Data Analyst

Puck EnterprisesManning, IA
3d

About The Position

The Data Analyst – Manufacturing & Supply Chain supports operational and supply chain decision-making by collecting, analyzing, and interpreting data related to production, inventory, purchasing, logistics, and supplier performance. This role transforms complex operational and supply chain data into actionable insights that improve efficiency, reduce cost, mitigate risk, and support continuous improvement initiatives across the organization. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Requirements

  • Bachelor’s degree in information systems, Business Analytics, Finance, Math, Statistics, or relevant field.
  • Or 1 – 3 years of experience in data analysis within manufacturing or supply chain environments
  • Technical Capacity.
  • Problem Solving.
  • Communication Proficiency.
  • Teamwork.

Nice To Haves

  • Experience with demand planning, MRP logic, and inventory optimization
  • Familiarity with ISO 9001, SPC, or supplier quality systems
  • Advanced Excel skills (Power Query, Power Pivot, complex formulas)
  • Experience with BI tools (Power BI, Tableau, or similar)
  • SQL and relational database experience

Responsibilities

  • Collect data from ERP, MES, quality systems, and supplier portals
  • Clean, validate, and standardize datasets related to production, inventory, and purchasing
  • Maintain data models and master data integrity (items, BOMs, routings, suppliers)
  • Analyze production metrics including throughput, cycle time, scrap, yield, downtime, and on-time delivery
  • Support capacity planning, labor utilization analysis, and production scheduling decisions
  • Develop dashboards and reports for shop floor and leadership teams
  • Analyze inventory levels, turns, aging, excess and obsolete (E&O) material
  • Monitor supplier performance including lead time, on-time delivery, quality, and cost trends
  • Support demand planning, forecasting accuracy, and material availability analysis
  • Create KPI dashboards and scorecards across operations and supply chain functions
  • Provide ad hoc analysis to support sourcing, pricing, and logistics decisions
  • Translate data into insights for cross-functional teams (Production, Purchasing, Quality, Finance)
  • Automate reporting and data workflows to reduce manual effort
  • Improve visibility of supply chain and operational metrics
  • Document data definitions, reporting standards, and analytics best practices
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