Data Quality Analyst III

Work Schedule

Environmental Conditions

Job Description

Thermo Fisher Scientific Inc. is the world leader in serving science, with revenues of more than $30 billion and approximately 75,000 employees globally. Our mission is to enable our customers to make the world healthier, cleaner and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory productivity.

Through our premier brands – Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services – we offer an unmatched combination of innovative technologies, purchasing convenience and comprehensive services.​

Job Description:

This is an outstanding opportunity to join our world-class team at Thermo Fisher Scientific. We are looking for a motivated Data Quality Analyst. As a Data Quality Analyst, you will have an important role in ensuring data integrity, accuracy, and consistency across the enterprise.

• Perform data quality assessments and validations to ensure data accuracy and consistency.
• Implement data quality scorecards.
• Monitor and provide updates on metrics related to data quality.
• Collaborate with data owners, data stewards, and team members to identify, analyze, and resolve data quality issues.
• Apply Experian Aperture Data Studio to improve data quality and support business needs.
• Maintain documentation of data quality processes and improvements.
• Collaborate with IT and business teams to support data quality initiatives and projects.
• Provide training and support to colleagues on standard methodologies for data quality.

• Experience with Experian Aperture Data Studio or other data quality systems.
• Good understanding of data governance and data quality frameworks.
• Proficiency in data analysis tools and software (e.g., SQL, Excel, Python, R).
• Familiarity with data visualization tools (e.g., Power BI).
• Understanding of data management principles and standard methodologies.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
• Demonstrated ability in data quality analysis or a related role.
• Certification in data quality or data management (preferred but not required).