Thermo Fisher Scientificposted 11 days ago
Full-time
Pittsburgh, PA

About the position

Join our team as a Product Data Specialist and be part of an exceptionally innovative company where your work will make a real impact. At Thermo Fisher Scientific Inc., we believe in encouraging a collaborative and inclusive environment that allows our employees to thrive.

Responsibilities

  • Act as subject matter expert for over 100 processes and work instructions, ensuring flawless process adherence across departments.
  • Support Master Data Management initiatives, including data cleansing, global governance adoption, and process definition.
  • Align with Portfolio Management categories to provide expertise in data processing related to specific business categories.
  • Accurately implement changes to product data attributes in the ERP system, ensuring all approvals and business rules are strictly followed.
  • Collaborate with suppliers, Regulatory and Portfolio Management to ensure timely and accurate implementation of new item additions.
  • Support the Annual Supplier Pricing project by reviewing data, completing workflow processes, and processing off-cycle pricing changes.
  • Manage the new item entry process, collaborating with Portfolio Management and Regulatory Affairs to ensure accurate and timely implementation.
  • Plan, develop and implement solutions to ensure data quality, minimizing disruption to downstream systems.
  • Frequently analyze product data to measure integrity and develop proactive cleansing projects.
  • Communicate and collaborate with internal and external customers regarding requests, issue resolution, and data integrity.
  • Adhere to detailed governance and standard operating procedures to ensure consistent and accurate product data changes.

Requirements

  • High School Diploma or equivalent required.
  • Bachelor’s Degree in business or related discipline preferred, or equivalent work experience.
  • Intermediate to Advanced Microsoft Office applications, specifically Excel and Access.
  • Proven experience in data management and analysis.
  • Strong attention to detail and ability to strictly follow established business rules.
  • Outstanding communication skills and ability to collaborate across departments.
  • Ability to prioritize and manage workload effectively.
  • Experience with ERP systems and data processing.
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