Performing tasks related to demographics, statistics and research information, insurance matters, compensation and social security and trust law matters, provident fund and pension fund schemes;
Managing the programmes and activities for collection, processing, analysis, reporting and dissemination of data in macroeconomic, trade, population, demography, labour, environment and other fields that are required from time to time for development planning and administration of the country;
Advising on or applying mathematical principles, models and techniques to a wide range of tasks in the fields of engineering, natural, social or life sciences;
Conducting logical analyses to resolve management problems, especially in terms of input-output effectiveness: formulating mathematical models of each problem, usually for programming and solution by computer;
Planning and organising surveys and other statistical collections, and designing questionnaires;
Evaluating, processing, analysing and interpreting statistical data and preparing them for publication;
Preparing scientific papers and reports;
Performing related tasks; and
Enhancing knowledge and coordinating the work performance.
What are the skills required?
Skills, knowledege and abilities that are essential to carry out a task with determined results. Skills can often be divided into domain-general and domain-specific skills.
Able to speak English
The ability to communicate effectively with superiors, colleagues, and staff is essential, no matter what industry you work in.
Problem solving consists of using generic or ad hoc methods, in an orderly manner, for finding solutions to problems.
Resource planning refers to the strategy for planned and judicious utilisation of resources. Resource planning is essential for sustainable existence of all forms of life.
SAS (previously "Statistical Analysis System") is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.
Ability to deconstruct information into smaller categories in order to draw conclusions
Experience objectively examining assumptions (adopted rules of thumb) underlying current beliefs to assess their correctness and legitimacy, and thus to validate or invalidate business beliefs.
Microsoft Excel is a spreadsheet developed by Microsoft for Windows, macOS, Android and iOS. It features calculation, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications.
Experience performing creative and systematic work to understand a product, market, or customer, either before building a new solution, or to troubleshoot an existing issue
SQL ( ESS-kew-EL or SEE-kwl, Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
Data conversion is the conversion of computer data from one format to another.
Data mining is the computing process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence.
In statistics, logistic regression, or logit regression, or logit model is a regression model where the dependent variable (DV) is categorical.
Machine learning is the subfield of computer science that, according to Arthur Samuel, gives "computers the ability to learn without being explicitly programmed." Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term "machine learning" in 1959 while at IBM. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, through building a model from sample inputs.
Predictive modeling uses statistics to predict outcomes.
Field of Study Required
Field of study consists of a broad area of academic and skills qualifications that come under a similar branch of subject knowledge. In addition, courses offered under each field of study require similar academic entry requirements.