Data Quality Analyst ensuring data integrity at CIAL Dun & Bradstreet. Responsible for monitoring data processes and conducting in-depth analyses to improve decision-making and operational efficiency.
Responsibilities
Monitor and improve data collection processes, ensuring their efficiency, consistency, and alignment with established standards.
Conduct in-depth analysis of collected data to assess its quality, considering dimensions such as completeness, uniqueness, validity, and consistency.
Verify compliance with business rules or specific criteria defined for each data source.
Identify data quality issues and propose solutions for correction and prevention.
Focus on ensuring the quality of data flowing through the organization’s systems and processes.
Prepare clear and structured reports, presenting findings, conclusions, and recommendations both in writing and through oral presentations.
Use data handling and analysis tools, such as Python and SQL, to develop validation, cleansing, and monitoring processes.
Collaborate with cross-functional teams, providing a critical and technical perspective on the state and reliability of the data.
Requirements
Minimum of 3 years of experience working with data, preferably in a business environment.
Hands-on experience with tools such as Python and SQL.
Strong analytical skills to assess large volumes of information.
Critical thinking mindset focused on continuous improvement and solving complex problems.
Highly analytical, organized, and detail-oriented with strong self-management, and excellent communication skills to effectively present findings.
Bachelor’s degree in a field related to data analysis or data management is required.
Benefits
Positive and encouraging work environment.
Dynamic company where you can grow as far as your vision and curiosity leads you.
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