Senior Data Quality Analyst

Salary - £55,000 - £65,000 + Excellent benefits

Location - Birmingham/Hybrid working

Key skills - Data Quality - DARMA - DCAM - SQL - Governance - Data Catalogue - Lineage - Microsoft

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 organisational 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

Technical / Professional Qualifications / 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
• Microsoft Azure stack and Databricks experience desirable

Number of direct reports 1+
Geographic area of impact Global
Size of budget N/a
Key stakeholdersBusiness stakeholders, Analytics, Data Governance & Quality, Data Science, Data Ops