1 to 25 of 392 Data Cleansing Jobs in the UK

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 ...

Business Analyst – Supplier Data Cleansing Client: Leading Insurance Sector Organisation Location: London (Hybrid Working) Employment Type: FTE/FTC Start Date: ASAP (20 July preferred) Grade: Senior Consultant/Manager Role Overview We are seeking an experienced Business Analyst – Supplier Data Cleansing … across Procurement, Finance, third-party suppliers and business stakeholders to resolve data quality issues, manage dependencies and ensure successful delivery of cleansing activities. The role will also provide day-to-day leadership, coaching and quality assurance for a junior Business Analyst supporting the data ...

ensuring compliance with data governance policies, maintaining data security and ethical standards. Data modelling, cleansing, and enrichment Data modelling expertise : Proficient in conceptual, logical, and physical data modelling. Ability to adhere to data modelling standards and best practices. Data cleansing and standardisation : Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques. Use of data integration tools : Skilled in using ...

Project descriptionWe are seeking a Data Architect to join our AI project team. In this role, you will design and implement the data architecture needed to support machine learning and AI solutions, including defining data models, storage patterns, and governance frameworks. … will ensure that data from various sources is well-organised, accessible, and AI-ready, working closely with data engineers and ML engineers to build robust data pipelines and maintain high data quality for analytics and model development.ResponsibilitiesData Modelling ...

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 ...

Artificial Intelligence & Automation Data Engineer (12 Month Fixed-Term Contract) Location: United Kingdom Ref: REF4155A Job Function: Information Technology Company Description Smiths Group designs, manufactures and delivers smarter engineering solutions for mission-critical applications, solving some of the world's toughest problems for our customers, our communities … Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data ...

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 ...

description Connect to your IndustryDo you want to be at the heart of some of the biggest and most ambitious AI & Data projects? At Deloitte, you will have the opportunity to work with leading global companies and help them tackle complex business challenges. We are looking … management solutions in a professional setting.Designing, implementing, and managing Data Quality programmes, including data profiling, cleansing, validation, and monitoring.Executing Data Migration projects across various source and target systems, including defining migration strategies, data mapping ...