Senior Analyst – Data Quality Management (225-902)

The Senior Analyst – Data Quality Management plays a crucial role in maintaining the integrity, accuracy, and consistency of organizational data assets. This position is responsible for overseeing the implementation of data quality strategies, ensuring data governance standards are upheld, and collaborating with various teams to enhance data quality initiatives. The Senior Analyst will analyze data sets to identify and rectify errors while establishing data management best practices. This role requires strong analytical skills, a keen eye for detail, and the ability to leverage technology to address data quality concerns. Additionally, the Senior Analyst will provide leadership in data quality management projects and advise stakeholders on improving data processes, ensuring that data assets are reliable and support strategic decision-making.

Responsibilities

• Develop and implement data quality management strategies across diverse datasets.
• Collaborate with different departments to identify data quality needs and priorities.
• Conduct rigorous data analysis to detect pattern inconsistencies and data anomalies.
• Establish data governance frameworks that adhere to industry standards and regulations.
• Propose and implement solutions for optimizing data quality improvement processes.
• Generate comprehensive reports on data quality metrics and performance indicators.
• Lead training sessions for staff on data quality tools and techniques usage.
• Monitor and audit data management systems to ensure continuous data accuracy.
• Generate insights from data audits and share recommendations with stakeholders.
• Enhance data quality programs using advanced analytical tools and methodologies.
• Maintain up-to-date documentation on data quality processes and improvements.
• Facilitate corrective action plans for resolving critical data issues promptly.

Requirements

• Bachelor’s degree in Information Technology, Data Science, or a related field.
• Minimum of five years’ experience in data quality management or a similar role.
• Proven expertise in data analysis, data profiling, and data governance practices.
• Strong problem-solving skills and attention to detail in complex data environments.
• Proficiency in using data management software and business intelligence tools.
• Excellent communication skills for sharing insights and recommendations effectively.
• Demonstrated ability to lead cross-functional teams and manage data quality projects.