Business Analyst

About the Role

We are seeking a detail‑oriented Business Analyst to support EUMDR regulatory compliance initiatives and drive data‑driven decision‑making across purchasing and manufacturing operations. In this role, you will analyze component run‑out timelines, coordinate with buyers and suppliers, and ensure alignment between material availability and production plans. You will work cross‑functionally to maintain compliance, improve visibility, and support operational continuity in a highly regulated manufacturing environment.

Responsibilities

• Track and analyze component run‑out dates related to EUMDR regulatory requirements across multiple product lines.

• Partner with buyers, suppliers, and manufacturing teams to ensure material availability aligns with production schedules.

• Develop and maintain data models, dashboards, and reports to support planning and compliance activities.

• Monitor material lifecycle risks and escalate issues impacting supply continuity or regulatory timelines.

• Support project coordination activities, including documentation, status tracking, and stakeholder communication.

• Leverage Excel and SAP ECC to extract, validate, and analyze data for operational decision‑making.

• Collaborate with cross‑functional teams to improve data accuracy, streamline workflows, and enhance visibility across purchasing and manufacturing.

Minimum Qualifications

• 3–4 years of experience in data analytics, business analysis, supply chain, purchasing, or related fields.

• Proficiency in Excel (advanced functions, data analysis)

• SAP ECC experience would be a plus.

• Experience working in a manufacturing or production environment.

• Strong analytical, organizational, and communication skills.

• Ability to manage multiple priorities and work with cross‑functional stakeholders.

Preferred Qualifications

• Experience in medical device, pharmaceutical, aerospace, or other highly regulated industries.

• Familiarity with EUMDR or other regulatory compliance frameworks.

• Background in electromechanical assembly environments.

• Demonstrated ability to translate data insights into operational recommendations.