Profession statistical assistant

Statistical assistants collect data and use statistical formulas to execute statistical studies and create reports. They create charts, graphs and surveys.

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Personality Type

  • Conventional / Investigative

Knowledge

  • 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.

Skills

  • Gather data

    Extract exportable data from multiple sources.

  • Report facts

    Relay information or recount events orally.

  • Identify statistical patterns

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

  • Apply scientific methods

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

  • 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.

  • Write technical reports

    Compose technical customer reports understandable for people without technical background.

  • 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.

  • Write work-related reports

    Compose work-related reports that support effective relationship management and a high standard of documentation and record keeping. Write and present results and conclusions in a clear and intelligible way so they are comprehensible to a non-expert audience.

  • Think analytically

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

  • 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.

  • Conduct quantitative research

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

Optional knowledge and skills

design questionnaires analyse big data deliver visual presentation of data carry out statistical forecasts conduct public surveys assist scientific research compile statistical data for insurance purposes conduct financial surveys revise questionnaires survey techniques manage database tabulate survey results data quality assessment scientific research methodology perform clerical duties perform scientific research develop financial statistics reports produce statistical financial records algorithms

Common job titles

  • Research assistant
  • Administrative support assistant (oa)
  • Research study assistant