Data Quality Analyst, ProCare

Work Flexibility: Hybrid

About the Role

We're looking for a detail-oriented and analytical Data Quality Analyst to join our team. In this role, you'll be responsible for ensuring the accuracy, integrity and reliability of data across the ProCare business. Your work will help support informed decision-making by maintaining high-quality data, identifying inconsistencies, and implementing corrective actions where required.

This is an excellent opportunity for someone who enjoys problem-solving, working with data, and driving continuous improvement across systems and processes.

What You'll Do

• Monitor, maintain and improve data quality across multiple business databases and systems.
• Identify, investigate and resolve data discrepancies, inaccuracies and integrity issues.
• Conduct regular data audits and quality checks to ensure data remains accurate and up to date.
• Analyse trends and report on data quality metrics and findings.
• Collaborate with stakeholders to ensure data standards and governance requirements are met.
• Support the deployment and maintenance of business-critical data used throughout the organisation.
• Recommend and implement process improvements to enhance data accuracy and efficiency.
• Assist with data cleansing, validation and migration activities as required.

What We're Looking For

Required

• Experience working in a data analyst, data quality or similar role.
• Strong attention to detail and a commitment to data accuracy.
• Excellent analytical and problem-solving skills.
• Advanced Microsoft Excel skills and experience working with large datasets.
• Strong communication skills with the ability to explain data issues to non-technical stakeholders.
• Ability to manage multiple priorities and work independently.

Preferred

• Experience with data quality management frameworks or data governance practices.
• Knowledge of SQL, databases and reporting tools such as Power BI.
• Experience within healthcare, insurance, rehabilitation or professional services environments.
• Relevant qualification in Data Analytics, Information Systems, Business, Statistics or a related field.

Apply now!

Travel Percentage: None