Senior Data Quality Analyst

This UK market leader of Medical Services requires a Senior Data Quality Analyst to drive improvements in data management, processes and practice across the company and collaborate with the broader parent Group Plc Data community to deliver and enhance Data Quality frameworks and policies.

Key responsibilities

• Work collaboratively across the central functions to implement and drive a suite of Data Quality policies, practices, and procedures to ensure consistency, accuracy, and compliance.
• Be the Data Quality expert, engaging with leadership and other key stakeholders in the company and Group level, and external providers to drive adoption of good data management practice across the business.
• Oversee the generation, review and use of metrics associated with data quality assurance to ensure adherence to policies and report findings.
• Drive the creation of a metadata repository solution and the improvement of current data and report dictionary solutions.
• Embedding a strong data management culture within the organisation by advocating the Data Quality strategy and proactively challenging colleagues.
• Work with data owners and stewards to identify data quality challenges and implement data improvement plans.
• Continually looking for innovative ways to make improvements based on the latest trends and research.
• Networking to stay connected with business trends and changes.

Key Skills / Experience:

• Demonstrable experience in a technical data quality related function.
• Experience in designing and implementing a process related to data quality assurance oversight.
• Experience of designing, analysing an interpreting metrics to identify weaknesses in processes.
• Strong stakeholder management skills - demonstrable experience of implementing data quality frameworks and influencing at a senior level to gain buy in and acceptance
• Using Power BI to build reports / Using metadata management tools to profile data.
• Solid understanding of data quality concepts, standards, and industry best practices.
• Proficient in data profiling techniques and data quality assessment methodologies.
• Familiarity with data management technologies, databases, and data warehousing concepts.
• Understanding of relevant data protection and privacy regulations (e.g., GDPR, CCPA).
• Ability to work independently and take ownership of data quality processes.
• Continuous learner with a proactive mindset to stay updated with evolving data quality trends and technologies.
• Strong documentation and presentation skills.
• Willingness to work as part of a remote team.