Profession statistician

Statisticians collect, tabulate, and, most importantly, analyse quantitative information coming from a varied array of fields. They interpret and analyse statistical studies on fields such as health, demographics, finance, business, etc. and advise based on patterns and drawn analysis.

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Personality Type

Knowledge

  • Scientific research methodology

    The theoretical methodology used in scientific research involving doing background research, constructing an hypothesis, testing it, analysing data and concluding the results.

  • Statistics

    The study of statistical theory, methods and practices such as collection, organisation, analysis, interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments in order to forecast and plan work-related activities.

  • Mathematics

    Mathematics is the study of topics such as quantity, structure, space, and change. It involves the identification of patterns and formulating new conjectures based on them. Mathematicians strive to prove the truth or falsity of these conjectures. There are many fields of mathematics, some of which are widely used for practical applications.

  • Statistical analysis system software

    Specific software system (SAS) used for advanced analytics, business intelligence, data management, and predictive analytics.

  • Data quality assessment

    The process of revealing data issues using ​quality indicators, measures and metrics in order to plan data cleansing and data enrichment strategies according to data quality criteria.

Skills

  • Identify statistical patterns

    Analyse statistical data in order to find patterns and trends in the data or between variables.

  • Gather data

    Extract exportable data from multiple sources.

  • Perform data analysis

    Collect data and statistics to test and evaluate in order to generate assertions and pattern predictions, with the aim of discovering useful information in a decision-making process.

  • Think analytically

    Produce thoughts using logic and reasoning in order to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.

  • Conduct quantitative research

    Execute a systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques.

  • Process data

    Enter information into a data storage and data retrieval system via processes such as scanning, manual keying or electronic data transfer in order to process large amounts of data.

  • Execute analytical mathematical calculations

    Apply mathematical methods and make use of calculation technologies in order to perform analyses and devise solutions to specific problems.

  • Apply statistical analysis techniques

    Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.

  • Apply scientific methods

    Apply scientific methods and techniques to investigate phenomena, by acquiring new knowledge or correcting and integrating previous knowledge.

Optional knowledge and skills

analyse big data advise on financial matters biometrics design questionnaires provide lesson materials deliver visual presentation of data set theory conduct public surveys opinion poll assist scientific research algorithms build predictive models develop financial statistics reports demography write research proposals write scientific papers market research develop statistical software prepare lesson content plan research process present reports develop scientific theories information confidentiality manage database perform scientific research advise on legislative acts carry out statistical forecasts

Source: Sisyphus ODB