for a Head of Data to provide overall leadership, strategic direction and technical data management expertise the data team and business as a whole Ensure efficient, high quality and optimal delivery of data management timeous database set up and data cleaning. Provide training to the data management team Participate in the new project. Keep up to date with the latest data management trends, technologies & practices Solid experience in the data area of the IT industry with at least 3 years data / strategic management
the department on data driven insights and trends, and create and maintain accurate data, dashboards, and recorded End to end system testing Ad-hoc projects Data Analytics to support business needs Ad-hoc analytics Risk areas Use SQL to extract and analyze data to make data-driven, actionable recommendations about how improve policies and processes Work closely with the Data Science team to price and implement Machine Learning processes Data development and maintenance Assist and advise on creating and maintaining data in the optimal
the department on data driven insights and trends, and create and maintain accurate data, dashboards, and recorded End to end system testing Ad-hoc projects Data Analytics to support business needs Ad-hoc analytics Risk areas Use SQL to extract and analyze data to make data-driven, actionable recommendations about how improve policies and processes Work closely with the Data Science team to price and implement Machine Learning processes Data development and maintenance Assist and advise on creating and maintaining data in the optimal
a view of how to migrate to Data Lake architecture as the quantity of data scales. Required to lead the for optimal performance. Ensure data security, scalability, and data integrity within all processes and software design to meet specifications. Streamline data import and integration processes Advise on areas Experience working with Data Lake architecture beneficial. Skilled in importing data from various sources clearly document and execute processes relating to data setup, technical roadmaps for clients and solution
revenue operations and CRM platforms and structure data flows, as well as owning the nurture and email sequences Management Creating a data cleanness structure Restructuring and setting up an optimised data structure within Creation and Management - Take ownership of the data and key data systems and providing support to relevant and/or API's that are needed to source the relevant data Own means of reliable transportation Ability to such as Computer Science, Information Technology, Data Science, or a related discipline / qualification
responsible for developing and maintaining data solutions, performing data analysis, and providing insights to Responsibilities: Design, develop, and maintain data solutions using Azure Synapse, SSIS, SSRS, SSAS SSAS, and Power BI. Handling the delivery of data and information relating to the business intelligence of Power BI. Designing, developing and maintaining data warehouse and analytics architecture to meet clients' working with large datasets. Experience with data modelling and data warehousing. Excellent communication and
requirements. Identify ways of presenting and analysing data to improve customer and user experience as well BI/Tableau/Qlik Proven ability to develop dashboards Data analysis skills Project Management Ability to take to communicate with Stakeholders Ability to use data to improve Business Implementing new and upgraded
synchronization and alignment of data within operational systems.
synchronisation and alignment of data within operational systems. ➢ Ensure data integrity is maintained and up-to-date. ➢ Provide IT support for operational systems data and performance analysis ➢ Maintain and clean the the core systems with respect to errors and data accuracy ➢ System changes will be defined by the business possible enhancements and improvements ➢ Eliminate data quality deficiencies, system errors and the misalignment
Analytics: Responsible for developing and managing a data warehouse for the business, including all ETL processes Computer Science, Data Science or Information Technology Minimum of 2 years' experience in data analysis, business business process mapping Firm understanding of data warehousing, data modelling and ETL processes Sound understanding