Data Analytics
Organise and analyse structured or unstructured data to create insights systematically
Type
Functional
Competency Area
Productivity and Innovation
Levels
Identify and process data according to required formats
Identify data sources which fulfil research and analysis requirements
Perform database queries across multiple sources to extract relevant data
Process data following standard procedures to facilitate data analysis
Organise data into appropriate chart elements to report analytics outputs
Conduct data studies and present insights and trends
Integrate information from multiple datasets
Conduct data mining exercises to uncover trends in the data
Perform data analysis to derive meaningful and actionable insights
Recognise sequential patterns and sub-graph patterns to draw linkages between variables
Present analytics outputs in a visually appealing format to support decision-making
Develop data studies and deepen insights to evaluate trends in datasets
Review data to ensure planning parameters are captured in extracted datasets
Configure data models to perform advanced analytics which will provide insights of business value
Engage in scalable pattern discovery methods on big data to identify market trends
Design effective and predictive dashboards to represent analytics outputs from large datasets
Communicate insights to relevant stakeholders
Drive efforts to improve data analytics capabilities within the organisation
Formulate the organisation’s data science plans to support business objectives
Conduct horizon scans to identify, evaluate and implement new technologies and techniques to improve the effectiveness of data analytics
Develop tools to automate data science tasks and improve analytics capabilities
Develop linkages of analytical outcomes to business objectives to influence business strategies
Advise staff to develop effective and predictive dashboards which represent analytics outputs from large datasets