Explore a world of opportunity in Data Quality Intermediate Analyst jobs, a critical and growing field at the intersection of data management, business operations, and technology. Professionals in this role are the guardians of an organization's data integrity, ensuring that information is accurate, consistent, and reliable for driving key business decisions, regulatory reporting, and operational efficiency. As an intermediate-level position, these roles demand a professional who can operate with a significant degree of independence, tackling complex data challenges and contributing to the strategic data governance framework. A Data Quality Intermediate Analyst is typically responsible for a wide range of tasks centered on monitoring, assessing, and improving data health. A core function involves the ongoing monitoring of data quality through the use of specialized tools and dashboards. They are tasked with identifying anomalies, exceptions, and patterns that indicate underlying data issues. Following identification, they perform root cause analysis to trace the origin of the problem, whether it stems from system processes, manual entry errors, or flawed integrations. Beyond just finding problems, these analysts are instrumental in developing and proposing both tactical remediations for immediate relief and strategic, long-term solutions to prevent recurrence. This often involves creating and documenting detailed business data requirements. Collaboration is a cornerstone of this profession. Data Quality Intermediate Analysts frequently partner with a multidisciplinary group, including business stakeholders from various departments, technology teams, data engineers, and operations managers. They act as a liaison, communicating complex data concepts with tact and diplomacy to ensure everyone understands the impact and the path to resolution. They may also contribute to formal data governance programs, helping to define data quality rules, metrics, and standards. Furthermore, they often play a role in the data concern remediation management process, formally reporting issues and tracking them through to resolution. The typical skill set for these jobs is a blend of technical and soft skills. A strong analytical mind with impeccable attention to detail is non-negotiable. Technically, a solid understanding of database structures and intermediate proficiency in SQL for querying data are common requirements. Familiarity with data governance and quality platforms like Collibra is highly valued. On the interpersonal side, excellent written and verbal communication skills are essential for explaining technical issues to non-technical audiences. These professionals must be flexible, team-oriented, and possess the ability to manage competing priorities effectively. Typically, employers seek candidates with 2-5 years of relevant experience in data quality or a related data management field, often preferring backgrounds in industries like finance or banking where data integrity is paramount. A bachelor's degree in a relevant field such as information systems, finance, or computer science is a standard requirement. If you are a problem-solver passionate about ensuring data-driven organizations can trust their most valuable asset, exploring Data Quality Intermediate Analyst jobs could be the perfect next step in your career.
