1st Shift (7:00AM - 4:00PM): Monday - Friday
$55,000-65,000
Position Summary:
Aegis Worldwide is partnered with a manufacturer who is seeking a highly analytical and detail-oriented Production Control Analyst to support their operations by transforming data into actionable insights. The ideal candidate will have a strong foundation in data analysis and strong reporting skills. This person will also utilize their excellent analysis, collaboration, and communication skills to improve overall logistics efficiency.
Must Haves:
- Bachelor's degree in Business Analytics, Information System, Supply Chain, or a related field.
- Strong Excel skills required (pivot tables, vlookups, trend charts, basic formulas, etc.).
- Strong critical thinking, attention to detail, and data interpretation skills.
- Excellent verbal and written communication skills.
Job Responsibilities:
- Generate purchase orders based on systematic inventory data to ensure continuous production with no supply interruptions.
- Ensure consistent material flow to production lines while balancing inventory levels to avoid overstocking or shortages.
- Analyze supply chain and operational data to identify trends, inefficiencies, and opportunities for cost savings.
- Support data-driven decisions on route optimization, carrier selection, and freight mode based on cost, service level, and urgency.
- Monitor carrier performance, freight costs, and delivery accuracy; develop performance scorecards and reports.
- Maintain accurate data in ERP systems and contribute to the improvement of production control processes.
- Apply root cause analysis techniques to resolve supply chain issues and implement corrective actions.
- Develop and manage automated dashboards and reports in Excel to track key performance indicators (KPIs).
- Design and utilize Crystal Reports to extract and analyze business data.
- Conduct ad hoc analyses to support management decisions and continuous improvement efforts.
- Create and maintain clear documentation for recurring reports, metrics, and data processes.