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MASCO Code
2121-02
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Statistician designs, conducts, and analyses data to produce reliable statistical information that supports decision-making across government, research, and private sectors. This includes collecting and reviewing survey for biological, health, and population data, applying statistical and mathematical methods, and conducting research on population trends, disease patterns, or biometric measurements. They interpret findings, create reports, and provide evidence-based insights to inform policy, public health, environmental, and economic planning.
Tasks
Design surveys, research studies, and sampling plans for biological, health, and population-based research.
Collect, organise, and quality-check data from surveys, experiments, and administrative sources to ensure reliability.
Develop and apply statistical and mathematical models to analyse data and support evidence-based decision-making.
Perform statistical analyses to identify trends, differences, and relationships in datasets.
Interpret findings and prepare reports, visualisations, and presentations for stakeholders and policymakers.
Advise on survey methodology and data collection strategies for research and public health projects.
Develop population projections, forecasts, and statistical analyses to support planning and policy decisions.
Investigate health, disease, and demographic trends and provide evidence-based findings to support planning and action.
Skills
Basic
Apply strong statistical and mathematical knowledge for data analysis and interpretation.
Communicate effectively, including report writing, collaboration, and teamwork skills.
Demonstrate critical thinking and analytical skills to evaluate complex problems.
Maintain high attention to detail and accuracy in data collection, management, and reporting.
Use computer and data management tools proficiently for research and analysis.
Specific
Knowledge of analysing biological, demographic, and epidemiological data using relevant statistical approaches.
Knowledge of interpreting statistical findings and providing evidence-based insights for policy, public health, and scientific purposes.
Knowledge of sampling methods, weighting techniques, and experimental design for research projects.
Knowledge of survey design, experimental design, and research study evaluation.
Proficiency in advanced statistical methods and techniques for data analysis.
Proficiency in data cleaning, validation, and imputation to ensure data accuracy and reliability.
Proficiency in data visualisation using charts, graphs, and software tools for interpretation and reporting.
Proficiency in statistical software and survey tools, such as Statistical Package for the Social Sciences (SPSS), Statistical Analysis System (SAS), R, and STATA, for data management and analysis.
Additional Info
QUALIFICATION
Bachelor’s degree or equivalent
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