6 of 6 Permanent Data Cleansing Jobs in Glasgow

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. ...

data migration strategy and plan, producing mapping specifications from legacy systems to future Software as a Service (SaaS) solutions. Define cleansing, transformation and validation rules, coordinate mock loads, reconciliation cycles and final cut over across all data in the project scope. Resolve complex … project, aligning to corporate retention and metadata requirements where available and defining project specific requirements as necessary. Lead targeted data cleansing, estimating the size and scale of cleansing and the specific resources required to execute it. - Lead, define and coordinate integrations – working with DaTS, data ...

Description Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection … extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. ...

experience Essentials:Experience in working with or maintaining finance ERP systems.Assisting clients in developing their to-be business processes and Workday solution/data flow, as well as integration points to non-Workday systems.Supporting the translation of business requirements into specific system, application or process designs covering … delivery projects.Working effectively within an inclusive team and actively supporting the development of individuals and teams, both formally and informally.Supporting data cleansing, conversion, and reconciliation from legacy systems, along with executing User Acceptance TestingDesirables:An active Workday Financials certification is a strong plus.Strong experience in Workday ...

maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. AccountabilitiesAcquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds.Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development.Design and implementation of data management strategies for model maintenance and future development.Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.Monitoring model performance ...

maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. AccountabilitiesAcquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds. Performing data cleaning and pre-processing tasks to ensure … data quality and suitability for model development. Design and implementation of data management strategies for model maintenance and future development. Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation. ...