3 of 3 Permanent Data Cleansing Jobs in Milton Keynes

Senior Manager Data Quality, UK Deloitte Data Office

Hiring Organisation
Deloitte
Location
Milton Keynes, Buckinghamshire, United Kingdom
Salary
£ 120 K
stakeholders to prioritise, track, and resolve data quality issues in a timely and efficient mannerOversee and support data cleansing, enrichment, and standardisation initiatives, ensuring data is optimally prepared for use in advanced analytics and AI applicationsImplement preventative measures to minimise … data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data profiling, data cleansing, and data standardisation techniques and tools (e.g., Informatica Data Quality, Talend Data Quality, Collibra, Ataccama ...

Assistant Manager Data Quality, UK Deloitte Data Office

Hiring Organisation
Deloitte
Location
Milton Keynes, Buckinghamshire, United Kingdom
Salary
£ 80 K
quality issues, performing root cause analysis and collaborating with data owners and technical teams to implement effective remediation strategiesData Cleansing and Transformation: Support data cleansing initiatives, correcting or excluding inaccurate, incomplete, or irrelevant data to maintain error … data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data profiling, data cleansing, and data standardisation techniques and tools (e.g., Informatica Data Quality, Talend Data Quality, Collibra, Ataccama ...

Data Quality Manager

Hiring Organisation
GIS Jobs Ltd
Location
Milton Keynes, Buckinghamshire, United Kingdom
Employment Type
Full-Time
Salary
£55,000 per annum
Excellent opportunity for a GIS Data Quality Manager to join a dynamic geospatial data company. With a variety of mobile mapping capture projects to complete in widespread global locations, we’re looking for individuals who can help us improve the quality of the data … Evaluate and implement tools to support data quality management across the lifecycle (including being hands-on with data cleansing and data validation processes). Share insights and improvement requirements, so that they can be prioritised as part of an agile ...