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Supply Chain Data Analyst

Howmet Aerospace
Hampton, USA
Full-time
Mid-Senior
Onsite
$100,000–$120,000 per year
Discovered 3 weeks ago
Supply chain analyticsMaterial forecasting modelsInventory optimizationAutomated reporting and dashboardsData analysisPower BI

Full Job Posting

Compensation

  • Anticipated pay range is $100,000–$120,000 per year; actual pay may vary based on experience, education, certifications, and other factors.

Responsibilities

  • Develop and improve material forecasting models using historical consumption, production schedules, customer demand, inventory, and market trends.
  • Use analytical tools to predict material requirements and optimize safety stock, reorder points, and minimum/maximum parameters.
  • Build automated reports, dashboards, and planning tools covering demand, inventory health, supplier performance, and forecast accuracy.
  • Analyze data for trends, risks, bottlenecks, and supply chain optimization opportunities; partner with teams on data-driven operational improvements.
  • Monitor inventory consumption, recommend adjustments, generate material requisitions, and track supplier commitments and deliveries.
  • Coordinate with Procurement and Operations to mitigate shortages, excess inventory, and supply disruptions.
  • Develop KPIs for forecasting, inventory performance, supplier reliability, and planning efficiency.
  • Maintain item master, routing, and bill of materials accuracy in the ERP system.
  • Lead root cause analysis for inventory discrepancies, planning variances, forecast errors, and material shortages.
  • Drive automation, workflow optimization, digital supply chain solutions, BI reporting, and systems enhancements with IT and business stakeholders.
  • Communicate with suppliers and logistics providers about schedules, delivery commitments, and supply risks; occasionally travel to supplier locations.
  • Follow plant policies and procedures, including EHS, Quality, Human Resources, and Code of Conduct requirements.

Skills and tools

  • The posting lists Power BI, Tableau, SQL, Python, VBA, Power Query, or similar platforms as examples of reporting and automation technologies.
  • Advanced Excel skills include Power Pivot, Power Query, complex formulas, and data modeling.
  • Knowledge of ERP/MRP systems, supply chain planning, inventory management, demand planning, forecasting, and procurement is required.

Qualifications

  • Bachelor’s degree and 3 years of experience in supply chain, logistics, data analytics, or procurement.
  • Demonstrated forecasting, inventory optimization, and supply chain analytics experience.
  • Proven experience building automated tools or dashboards in a manufacturing environment.
  • Strong analytical, quantitative, and problem-solving skills; ability to manage projects independently and collaborate across organizational levels.
  • Ability to work in office and manufacturing environments and frequently engage with shop-floor operations.
  • Must be legally authorized to work in the United States. Visa sponsorship is unavailable.
  • Employment offers are conditioned on the ability to lawfully obtain access to export-controlled items.

Work environment

  • The role involves office and manufacturing environments and frequent engagement with shop-floor operations.
  • Occasional travel to supplier locations may be required.

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