About The Position

This onsite analyst role supports demand planning, inventory management, master data governance, and supply chain operations in a medical device environment. The position maintains data integrity, analyzes planning and inventory performance, supports business systems and integration initiatives, and assists with day-to-day planning and purchasing activities. It works with Planning, Procurement, Manufacturing, Quality, Regulatory Affairs, Customer Service, Finance, and IT to support accurate data and efficient supply chain execution. The analyst also contributes to transformation, system implementation, process improvement, testing, data validation, and operational readiness efforts. The ideal candidate is analytical, detail-oriented, adaptable to change, and ready to take broader ownership of demand, supply, and inventory planning responsibilities.

Requirements

  • Bachelor's degree in Supply Chain Management, Business, Operations Management, Engineering, Data Analytics, or a related field.
  • 2–3 years of experience in supply chain, demand planning, supply planning, inventory planning, procurement, or related analytical roles.
  • Experience with inventory management, inventory reconciliation, receiving processes, and transaction accuracy.
  • Strong understanding of demand planning, supply planning, inventory management, and purchasing processes.
  • Exceptional attention to detail and commitment to data accuracy.
  • Strong analytical and problem-solving abilities.
  • Ability to manage multiple priorities in a fast-paced and evolving environment.
  • Effective verbal and written communication skills.
  • Ability to work cross-functionally and build relationships across diverse stakeholder groups.
  • Understanding of how Supply Chain, Operations, Quality, Regulatory Affairs, Finance, Commercial, and IT functions interact within a medical device company.
  • Advanced Microsoft Excel skills and proficiency with data analysis tools.

Nice To Haves

  • Experience supporting ERP systems, planning tools, or business system implementations; SAP is a plus.
  • Experience in a manufacturing, life sciences, or medical device environment.
  • Experience with ERP and supply planning systems such as SAP, Oracle, Kinaxis, OMP, or equivalent platforms.

Responsibilities

  • Support demand planning through data collection, validation, reporting, and analysis.
  • Assist with forecasting, forecast accuracy monitoring, and demand trend analysis.
  • Support supply and inventory planning to maintain product availability and continuity of supply.
  • Work with planners and buyers to identify and mitigate shortages, excess inventory, and supply risks.
  • Monitor inventory levels, transactions, and discrepancies across internal and external locations.
  • Investigate inventory variances and coordinate corrective actions with Operations, Logistics, Finance, and Contract Manufacturers.
  • Partner with Accounts Payable and Receiving to resolve invoice, receipt, and inventory transaction discrepancies.
  • Analyze inventory health metrics, excess and obsolete inventory, and inventory performance trends.
  • Maintain and improve supply chain master data accuracy across ERP, planning, and reporting systems.
  • Perform data audits and validation to ensure accurate and reliable planning inputs.
  • Develop and maintain reports, dashboards, KPIs, and analytical tools.
  • Analyze large data sets to identify trends, risks, and improvement opportunities.
  • Support data governance and continuous improvement initiatives.
  • Support ERP, planning system, and supply chain software implementation projects.
  • Participate in user acceptance testing, system validation, defect tracking, and process documentation.
  • Assist with data migration, master data validation, and system integration activities.
  • Collaborate with business, IT, and external consulting teams on project execution.
  • Help document future-state supply chain processes and standard work.
  • Communicate supply chain risks, assumptions, and recommendations to stakeholders.
  • Support New Product Introduction, product lifecycle management, and business integration activities.
  • Facilitate issue resolution through communication and stakeholder engagement.
  • Identify opportunities to improve planning processes, reporting capabilities, and data quality.
  • Support automation, process simplification, operational excellence, and business transformation efforts.
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