Ingersoll Rand · 1 week ago

Supply Chain Analyst

Southern Pines, NC

Full-time

Onsite

Mid Level

3+ years exp

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Responsibilities

Builds and maintains statistical forecasts for customer demand planning for multiple sites across the globe.

Assists with the SIOP process to ensure demand forecasting is synchronized across multiple teams and communicates risks appropriately.

Improve forecasting accuracy by analyzing error rates, recommending and implementing appropriate action plans.

Maintains documentation and SOPs for demand planning processes and systems.

Leverages data analytics tools to create new insights through dashboards, reports, and presentations across the entire supply chain.

Interacts frequently with internal contacts as well as external suppliers and customers to build effective forecasts and replenishment plans.

Assists with advanced analytical analysis, such as anomaly or outlier detection, statistical modeling, or process optimization as needed.

Collaborates effectively with all teams and levels in the organization to successfully meet desired operational, financial, and quality objectives.

Support the implementation and compliance of the Materials and SIOP standard work playbook processes and systems to facilitate the fulfillment process from production planning to material procurement and warehousing, through product shipment.

Champion Lean for Materials Planning functions.

Qualification

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Data analysisSupply chain operationsData visualizationOracleMFG ProExcelPythonStatistical analysisModelingOptimizationComputerized information systemsReport generationRisk managementPerformance improvementManufacturing processesMaterials managementProduction planningProcurementManufacturing material flowProblem solvingFlexibleProactivePrioritizationClear communicationRespectful communicationOrganizational skillsConflict resolutionAPICS Qualification

Required

Bachelor of Science Degree Preferred

3 plus years of working with data, preferably in a supply chain or operations environment

Experience with data visualization tools such as Tableau, Power BI, etc.

Some knowledge of Oracle/MFG Pro preferred

Strong Excel, Python, or R skills for statistical analysis, data visualization, modeling, and/or optimization

Must be able to use in-depth working knowledge of complex computerized information systems to create reports, analyze data and be able to glean useful business insights to minimize risk and improve business performance (manufacturing, materials management, production planning, procurement and distribution)

Must be a flexible, decisive and proactive problem solver; able to prioritize effectively

Must be able to work well in a high-pressure, fast-paced environment

Must be a clear, concise, respectful communicator

Must possess strong organizational skills, with the ability to work on multiple priorities at once

Must be proficient at conflict resolution

Must have a good understanding of manufacturing material flow in a plant