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 stakeholders | Business stakeholders, Analytics, Data Governance & Quality, Data Science, Data Ops |
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