# 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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## Knowledge

• Statistical analysis system software

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

• 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.

## Skills

• 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.

• Gather data

Extract exportable data from multiple sources.

• Conduct quantitative research

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

• Identify statistical patterns

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

• Execute analytical mathematical calculations

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

• Think analytically

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

• 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.

• Apply scientific methods

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

• 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.

• 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.

## Optional knowledge and skills

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

Source: Sisyphus ODB