DATA QUALITY LEAD - CRAWLEY - £70K + EXCELLENT BENEFITS

Reporting to the Operational Data Manager, the main purpose of Data Quality Lead (DQL) is to oversee the quality and integrity of data within our business and systems. This role involves developing and implementing data quality strategies, creating and monitoring data quality metrics, and collaborating with various departments to ensure data accuracy and compliance with industry standards and regulations.

This hands-on role has emerged at an exciting time in the company's growth, arriving at the same time as investment in new data sources and data quality management technology to meet commercial data strategy and compliance data quality needs. Having invested in new technology and data sources, the DQL is responsible for leveraging the value from those investments to uplift our data quality to the highest possible standards.

Key Responsibilities:

• Develop and implement data quality management strategies and frameworks.
• Lead data quality improvement projects and initiatives.
• Implement new data quality data sources and technology.
• Create and manage the roll out of new member data quality processes.
• Apply associated contact strategies alongside marketing, whilst minimising business impact.
• Monitor and analyse data quality metrics to identify and resolve data issues.
• Enable tracking of data quality through its life cycle in the company data ecosystem.
• Collaborate with IT, operations, marketing and other departments to ensure data accuracy and consistency.
• Conduct regular data audits and quality assessments.
• Develop and maintain data quality documentation, including policies, procedures, and standards.
• Provide training and support to staff on data quality best practices.
• Ensure compliance with industry regulations and standards related to data quality.
• Report on data quality performance to senior management.
• Responsible for the team's performance against agreed objectives and key performance indicators.
• Adhere to Company Risk Management policy and procedures, including reporting of incidents or breaches

Skills & Experience:

• Experience of implementing data quality standards, policies, and best practices.
• Understanding of data management principles with experience of data governance frameworks.
• Experience with data governance and stewardship, ensuring data quality at all stages of its life cycle.
• Conduct data quality assessments and audits, identifying and prioritising issues.
• Ability to define and measure key Data Quality KPIs
• Ability to develop and implement mitigation strategies for data quality risks.
• Ability to lead cross-functional initiatives data quality improvement projects, including planning, execution, and resource management.
• Strong communication skills to influence business stakeholders and IT teams to understand data requirements and quality needs, and drive out resolutions to completion
• Ability to communicate and present complex technical issues to non-technical stakeholders and senior management
• Hands on and current experience with data profiling techniques to analyse data and identify issues like data duplication, inconsistency, missing values, etc. making data-driven recommendations for quality improvement.
• Ability to define and implement data cleansing rules
• Strong problem-solving skills to identify root causes of data quality issues.
• Evidenced delivery of automated solutions to streamline data cleaning with automated data quality monitoring systems
• Experienced at creating dashboards and reports using BI tools, preferably Power BI, to monitor data quality.
• Understanding of data architecture and how it affects data quality, to ensure high-quality data at all points of data flow.
• Knowledge of data privacy laws and regulations and how they affect data quality and handling.
• Ability to mentor and guide less experienced staff in data quality management techniques.

Desirable:

• Experience with data quality or monitoring tools, preferably using Experian Aperture to deliver successful business outcomes
• Strong understanding of relational (eg, SQL Server, Oracle, MySQL) databases and expertise in writing complex SQL queries to identify and fix data quality issues, like duplicates, missing data, or formatting errors.
• Familiarity with ETL (Extract, Transform, Load) tools

This really is an excellent chance to join a stable company, going through an exciting period of growth. For more information and a full job description, please contact Ben Turner at BRT Consulting.