Discover and apply for Senior Data Quality Analyst jobs, a critical and growing profession at the intersection of data management, governance, and business strategy. These professionals serve as the guardians of an organization's data integrity, ensuring that information assets are accurate, consistent, reliable, and fit for purpose. Their work is foundational to trustworthy analytics, regulatory compliance, and confident business decision-making across industries like finance, healthcare, technology, and retail. A Senior Data Quality Analyst typically operates at a strategic level, moving beyond simple data cleaning to establish and oversee robust data quality frameworks. Common responsibilities include designing and implementing data quality standards, rules, and metrics. They proactively profile data to identify patterns, anomalies, and systemic issues, then perform root cause analysis to understand why data defects occur. A key part of their role involves managing the end-to-end data quality issue management lifecycle: from triage and documentation to driving remediation efforts with data producers and consumers. They act as a crucial bridge between technical data teams and business stakeholders, translating data problems into business impact and advocating for data quality as a core business priority. These senior roles are deeply involved in data governance initiatives. They often moderate or support governance forums, contribute to data policies and procedures, and ensure adherence to internal and external regulatory requirements. They develop and monitor dashboards and reports to track data quality health, presenting findings to senior leadership. Furthermore, they mentor junior analysts and champion a culture of data quality awareness throughout the organization. Typical skills and requirements for these jobs include a strong blend of technical and business acumen. Candidates generally possess 5-10+ years of experience in data management, governance, or a related control function. Proficiency in SQL for data profiling and analysis is standard, along with experience using data quality tools (like Informatica, Talend, or Collibra) and data governance platforms. A deep understanding of data management frameworks (e.g., DAMA-DMBOK) and the full data lifecycle is essential. Senior analysts must exhibit exceptional analytical and problem-solving skills with meticulous attention to detail. Equally important are strong project management capabilities, excellent verbal and written communication skills for influencing stakeholders, and a thorough understanding of the industry-specific regulatory landscape. A bachelor's degree in information systems, computer science, finance, or a related field is commonly required. For those seeking to ensure that data drives value rather than risk, exploring Senior Data Quality Analyst jobs offers a path to a impactful and in-demand career.
