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Thermo Fishers Jobs 2025 Details :
Thermo Fishers Jobs 2025 Eligibility Criteria :
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
- 3+ years experience in data quality analysis or a related role.
- Certification in data quality or data management (preferred but not required).
Preferred Experience:
- Good understanding of data governance and data quality frameworks.
- Understanding of data management principles and standard methodologies
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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.
Key Responsibilities:
- 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.
Required Experience:
- Experience with Experian Aperture Data Studio or other data quality systems.
- Proficiency in data analysis tools and software (e.g., SQL, Excel, Python, R).
- Proficiency with data visualization tools (e.g., Power BI).
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
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How to apply for Thermo Fishers Jobs 2025?
All Interested and eligible candidates can apply for Thermo Fishers Jobs 2025 online by registering themselves through the link given below on or before Last Date.