Data Quality Analyst, reporting to the Data Operations Manager. The successful candidate will be responsible for ensuring integrity and high quality of data in the Life Healthcare data ecosystem.
Critical Outputs Comprehensive, proactive identification of high-level data quality issues, ensuring compliance with designs and source-to-target mapping, and recommendation of solutions (where possible addressing root causes).
Develop and execute test plans, and evaluate success. Evaluate the impact of system performance and design on data quality.
Work closely with others in the Data Operations team to improve data ingestion and storing processes. Run queries to identify exceptions and clean data.
Liaise with users and other stakeholders to identify data quality issues and report on solutions and provide documentation, guidelines, and training where warranted to improve future quality.
Document data quality review processes. Ensure compliance with data governance standards. Adhere to global best practices and keep up-to-date with data quality analysis developments.
Requirements 3+ years’ data management experience (3+ years’ specific data quality assurance experience preferred) 2+ years experience in cloud-based data environments, with expertise in MS Azure a strong recommendation A deep understanding of data architecture Solid SQL and TSQL expertise Healthcare experience, in particular in a hospital environment, would be an added advantage Competencies Attention to detail Analytical thinking Problem-solving, analysis and judgement Resilience Engaging diversity Influencing skills Building relationships Customer responsiveness Organisational awareness Excellence orientation Deadline driven Interested candidates can send their CVs