1 to 25 of 219 Permanent Data Cleansing Jobs in the UK excluding London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have … Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have ...

summary The postholder will translate study protocols and research questions into practical, proportionate data-collection requirements, including the design and refinement of study-specific Case Report Forms (CRFs), database modules, worksheets, data management plans and completion guidance. They will work closely with participating haemophilia … centres to facilitate data collection, resolve operational difficulties and ensure that study data are complete, timely, consistent and suitable for analysis and reporting. The role has three core components: Study-specific data management: Developing and maintaining the additional data ...

profiling, quality assessments, root cause analysis, and data validation to ensure completeness, consistency, and accuracy.Drive data cleansing, enrichment, standardization, remediation, and reconciliation activities across multiple business functions.Design, build, validate, and execute migration datasets using SAP migration tools including SAP BODS … domains such as Plan to Build (P2B), Material Master (MM), and Extended Warehouse Management (EWM).Strong expertise in data extraction, transformation, cleansing, reconciliation, validation, and migration execution.Experience with SAP BODS, BDC, ETL tools, SQL, NoSQL databases, and business intelligence platforms.Strong knowledge of data ...

profiling, quality assessments, root cause analysis, and data validation to ensure completeness, consistency, and accuracy. Drive data cleansing, enrichment, standardization, remediation, and reconciliation activities across multiple business functions. Design, build, validate, and execute migration datasets using SAP migration tools including SAP BODS … domains such as Plan to Build (P2B), Material Master (MM), and Extended Warehouse Management (EWM).Strong expertise in data extraction, transformation, cleansing, reconciliation, validation, and migration execution. Experience with SAP BODS, BDC, ETL tools, SQL, NoSQL databases, and business intelligence platforms. Strong knowledge of data ...

annumLeatherhead, EnglandContractThe role is for meticulous, thorough and organised data analyst who can work with BAs to ensure data dictionary is created (and mapped to current), development and test data requirements are met, data sources are identified … is being collated, refined, and remodelled in preparation for a similar but distinct environment, taking existing data and cleansing and restructuring for migration from one IT platform to another.· Experience of data used in CAFM software and/or delivering ...

Title: Senior Clinical Research Data Manager Location: Salford Quays Salary: £49,387- £56,515 per annum - Band 7 Contract: Full time, Permanent About the Role: The National Haemophilia Database (NHD) is the UK's national registry for people with inherited and acquired bleeding disorders, collecting clinical … treatment data from NHS haemophilia centres across the UK. We are seeking an experienced Senior Clinical Research Data Manager to provide specialist data management and coordination for post-marketing studies, investigator-initiated studies and other approved research delivered through the NHD. ...

migration strategies and methodologies, specifically in the context of SAP S/4HANA transitions. This includes expertise in data cleansing, transformation, validation, and the technical tools involved in migrating data to SAP S/4HANA. This role requires guiding cross functional … sales and asset and project management areas. Demonstrated expertise in data migration strategies and methodologies, including data cleansing, transformation, and validation. Expertise in MDG Consolidation and Mass Processing configurations. Good understanding of Data Quality Management (DQM) principles and implementation strategies. ...