Data Management Specialist at Tagit

About the job
Minimum qualification Required:

• A minimum of a Bachelor’s degree in Computer Science or Information Management OR equivalent;
• A minimum of 5 to 8 years’ experience in a data management environment

The scope will include but will not be limited to:

• To guide the refinement and continuous improvement of tools, methods and processes in area of data management (Data Governance, Reference and Master Data Management, Data Quality Management, Metadata Management, Data Modelling and Design, Data Architecture, Data Warehousing and Business Intelligence, Data Development, Data Security, Data Storage and Operations, Data Integration and Interoperability)
• To design and implement processes, procedures and technology required for complex, large-scale data sets used for data management areas such as algorithmic modelling, data mining, and research purposes etc.
• To prepare the required data by performing a data assessment, data analysis, consolidation and / or cleansing
• To define, develop, implement, enhance and maintain multiple datasets that support the different business processes.
• To develop and manage stakeholder relations effectively to promote data management across the organisation and support reliable decision making and appropriate data usage.
• To participate and provide technical support in cross organisational activities relating to any of the above mentioned data management activities.
• Evaluate datasets for consistency, completeness, accuracy and take reasonable actions to correct.
• Interact with business stakeholders and other teams to obtain data requirements for new and existing applications.
• Perform data management activities in accordance with the needs of the Organisation.
• Provide regular progress reports as per stakeholder requirements and present data management updates in various forums as required.
• Develop process improvements for data management activities.
• Perform data analysis using statistical tools.
• Address any issues, questions and problems in accurate and timely manner.
• Create a database for storing data management artefacts and troubleshooting problems.