Senior Data Quality Analyst

Role Purpose:

This role will implement the strategy to improve data quality, build out a master data model, and develop a data catalogue with a view to improving processes and reducing organizational costs. This is a senior practitioner role which will be crucial in collaborating across departments to foster a culture of data stewardship and responsibility towards managing business data assets. In addition, they will drive continuous improvement in aspects of data maturity by regularly providing business relevant information and consultation on data governance policies, standards and best practices. 

Key Responsibilities:

Data Quality Management:  

• Collaborate with stakeholders to identify and investigate known data quality issues 

• Develop a framework to assess, monitor, and improve data quality.  

• Establish and implement data quality standards, ensuring adherence across business processes. 

Data Management:  

• Work closely with the Head of Data Governance to implement and refine data management strategies.  

• Contribute to the development and maintenance of master data sets in alignment with organizational objectives.  

Collaboration and Communication:  

• Collaborate with cross-functional teams to understand data requirements and challenges within business units.  

• Communicate effectively with key stakeholders, providing insights and recommendations related to data governance.  

Business Process Analysis:  

• Analyse and document existing business processes related to data generation, collection, and usage.  

• Identify opportunities for process improvement to enhance data quality and efficiency.  

Data Documentation and Lineage:  

• Contribute to the creation and maintenance of data documentation, including data lineage and business glossary. 

• Assist in building and managing a comprehensive data catalogue to enhance organizational understanding of data assets.  

Continuous Improvement:  

• Proactively identify areas for continuous improvement in data governance processes and practices.  

• Work closely with the Head of Data Governance and other team members to implement best practices and refine data governance strategies 

Requirements:

• Extensive experience in data analysis, data quality management and data management. 

• Strong SQL skills for data analysis, route cause analysis and manipulation. 

• Experience with data quality tools and technologies such as data profiling, cleansing, and matching tools. 

• Strong analytical and problem-solving skills with a keen attention to detail and the ability to articulate complex data concepts to help colleagues and business partners understand data quality issues. 

• Excellent communication and collaboration skills with the ability to work effectively across teams and departments, using knowledge gained to influence the strategic direction. 

• Experience with data catalogue and lineage tools. 

• Good understand of data management frameworks such as DCAM or DAMA and how they can be used to improve data quality