Data Quality Analyst – Global Procurement

About the role

Thermo Fisher Scientific is seeking a Global Procurement Data Quality Analyst to ensure the accuracy, consistency, and reliability of procurement data used for spend analytics, sourcing decisions, and category reporting. You will work closely with cross‑functional teams to identify data quality issues, improve spend classification, and support data‑driven decision making.

Key responsibilities

• Conduct comprehensive assessments of master and transactional procurement data using spend tools and analytics.
• Identify data quality gaps through profiling, validation, and analysis.
• Research, collect, and analyze procurement data to draw actionable insights.
• Review business justifications for spend recategorization and classification improvements.
• Evaluate AI‑enabled classification outputs and provide structured feedback.
• Execute data cleansing activities such as deduplication, standardization, and normalization.
• Collaborate with data owners, category teams, and other stakeholders to resolve data issues.
• Present findings and recommendations to category leaders and key stakeholders.
• Maintain documentation of data quality actions for audit readiness.
• Support continuous improvement initiatives and special projects as required.

Required profile

• Bachelor’s degree in Business Administration, Industrial Engineering, Data Analytics, Supply Chain or a related field.
• 5+ years of experience in procurement, supplier quality, data management, process engineering, or procurement analytics.
• Strong understanding of procurement spend analytics and category management (preferred).
• Experience with data analytics, reporting, and data quality methodologies.

Required skills

What we offer

• Opportunity to work for a global leader in science serving 120,000 colleagues worldwide.
• Collaborative, inclusive environment that values diverse talent.
• Impactful work that contributes to healthier, cleaner, and safer outcomes.