Data Quality Analyst

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. The role blends data analysis, procurement expertise, and stakeholder collaboration to drive data quality improvements.

Key responsibilities

• Assess master and transactional data using procurement spend tools and analytics.
• Identify data quality gaps, inconsistencies, and validation issues through profiling and analysis.
• Research, collect, and analyze procurement data to support classification improvements.
• Review business justifications for spend recategorization and evaluate AI‑enabled classification outputs.
• Execute data cleansing activities such as deduplication, standardization, and normalization.
• Collaborate with data owners, category teams, and cross‑functional stakeholders to resolve data issues.
• Present findings and recommendations to procurement leaders and maintain documentation for audit readiness.
• Support continuous improvement initiatives and undertake special projects as needed.

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 knowledge of procurement spend analytics and category management (preferred).
• Experience with data analytics, reporting, and data quality processes.

Required skills

What we offer

• Opportunity to work for a global leader in science with a collaborative, inclusive culture.
• Impactful work that contributes to healthier, cleaner, and safer outcomes worldwide.