Statistician
Statisticians design methods for collecting, analysing and interpreting quantitative information. They may work with experiments, surveys, observational data or other datasets and communicate statistical findings for research, business or public-sector applications.
Data Analyst
Data Analysts examine datasets to identify patterns, trends and insights that can support decision-making. A Statistics background can provide knowledge of statistical methods, probability and data interpretation, while additional technical skills may be useful depending on the role.
Statistical Analyst
Statistical Analysts apply statistical techniques to investigate datasets and answer specific research or business questions. Their work can include data preparation, statistical modelling, hypothesis testing, interpretation and presentation of results.
Data Scientist
Data Scientists use statistical, computational and analytical methods to work with complex datasets and develop models or insights. Statistics can provide an important foundation, while programming, machine learning and domain-specific knowledge may also be required.
Biostatistician
Biostatisticians apply statistical methods to biological, healthcare or medical research. Their work may involve study design, data analysis, interpretation of research results and statistical support for scientific investigations, generally requiring relevant specialised education.
Market Research Analyst
Market Research Analysts analyse information about customers, markets and business conditions. Statistical knowledge can help them design surveys, analyse responses, identify patterns and interpret quantitative market information.
Actuarial Professional
Actuarial Professionals use probability, statistics and financial concepts to analyse uncertainty and risk. They may work in insurance, pensions or financial services. Professional actuarial pathways generally involve additional examinations or qualifications beyond academic study.
Econometrician
Econometricians apply statistical and mathematical methods to economic data. They may develop models, analyse relationships between economic variables and evaluate quantitative evidence for research, policy or business applications.
Research Analyst
Research Analysts collect and analyse quantitative information to support research projects and decision-making. Depending on the sector, they may work with survey data, market information, economic data, social research or other datasets.
Career opportunities in Statistics depend on factors such as qualification, statistical and technical skills, practical experience, projects, programming knowledge, specialisation and employer requirements. Students can also consider postgraduate study or professional development in areas such as data science, biostatistics, econometrics, actuarial science, business analytics or statistical computing.
