Data Quality Analyst

Overview

Agile Worker: 20% of contractual hours to be worked from reporting office/working location (hybrid working).

Office Worker: Contractual hours to be worked from reporting office, Join the Data Quality and Assurance Team and contribute to the organisation’s transformation into a truly data-driven environment. This is a unique opportunity to help shape how data is trusted, governed, and used across the organisation, directly influencing decision-making, regulatory compliance, and service improvement for customers.

Responsibilities

• Investigate data issues using SQL, Excel, housing management systems, master data management tools, and other analytical tools to identify root causes and propose solutions
• Maintain and enhance the data governance framework, including supporting the development of the Business Glossary and Critical Data Elements (CDEs), ensuring alignment with business definitions, standards, and regulatory requirements
• Work with stakeholders and Data Stewards to develop and deliver data improvement plans that enhance data quality and support organisational objectives
• Define data quality metrics based on business rules, develop reporting and scorecards, and communicate insights to business leads
• Maintain records of end-to-end data flows and information assets to ensure auditability and regulatory compliance
• Support regulatory submissions, ensuring accuracy and completeness of reporting requirements
• Assess the impact of data-related changes and ensure alignment with data standards and business processes
• Collaborate across Data Owners, Data Stewards, technology teams, and governance forums to embed data governance practices
• Support governance forums and working groups through reporting and stakeholder engagement

Qualifications

• Strong experience as a Data Quality Analyst or within a data governance/data quality function, ideally in the housing sector or a similar organisation
• Strong stakeholder engagement skills with the ability to lead discussions and influence outcomes
• Understanding of DAMA data quality management principles (desirable)
• Degree-level education or equivalent experience (desirable)

Benefits

• Excellent pension scheme (up to 6% employer double contribution)
• 28 days annual leave rising to 31 days with service plus Bank Holidays
• Health cash plan
• Life assurance
• Paid volunteering days
• Lifestyle benefits
• Employee Assistance Programme, and more

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