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ESCO occupation

statistical assistant

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

3314.2 ISCO 3314 ESCO source
Competences
38
Groups
5
Essential
15
Optional
23

Competences and skills

38 ESCO relations
Essential competences 1 competence

Occupation specific

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Sector-specific

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Cross-sector

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Essential knowledge 4 competences

Occupation specific

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Cross-sector

4 competences
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.

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quantitative analysis

The technique of employing statistical and mathematical modelling and measurement to represent a specific reality through numbers.

digital
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statistical analysis system software

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

digital
Scope note
This includes SPSS
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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.

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Essential skills and competences 10 competences

Occupation specific

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Sector-specific

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Cross-sector

10 competences
apply scientific methods

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

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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.

digital
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conduct quantitative research

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

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execute analytical mathematical calculations

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

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gather data

Extract exportable data from multiple sources.

digital
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identify statistical patterns

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

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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.

digital
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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.

digital
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write technical reports

Compose technical customer reports understandable for people without technical background.

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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.

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Optional knowledge 7 competences

Occupation specific

0 competences

No competences in this bucket.

Sector-specific

2 competences
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.

digital
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statistical modeling techniques

The approaches for employing statistical analysis to dataset within the data science field. It seeks to elaborate reality predictions through statistical models and explicit assumptions.

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Cross-sector

5 competences
algorithms

The self-contained step-by-step sets of operations that carry out calculations, data processing and automated reasoning, usually to solve problems.

digital
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data science

The field of study that deals with big amount of data using AI techniques such as machine learning algorithms to predict patterns and obtain useful information to make business decisions

digital
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research design

The set of methods and techniques of research that are used to conduct a study. It includes practical steps in research such as purpose statement, data collection, methodology, and data analysis.

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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.

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survey techniques

Techniques on how to identify a target audience, choose the right survey method and analyse the data.

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Optional skills and competences 16 competences

Occupation specific

0 competences

No competences in this bucket.

Sector-specific

2 competences
compile statistical data for insurance purposes

Produce statistics on potential risks such as natural and technical disasters and production downtimes.

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conduct financial surveys

Conduct the procedures of a financial survey from the initial formulation and compilation of the questions, identifying the target audience, managing the survey method and operations, managing the processing of acquired data, to analysing the results.

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Cross-sector

14 competences
analyse big data

Collect and evaluate numerical data in large quantities, especially for the purpose of identifying patterns between the data.

digital
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assist scientific research

Assist engineers or scientists with conducting experiments, performing analysis, developing new products or processes, constructing theory, and quality control.

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carry out statistical forecasts

Undertake a systematic statistical examination of data representing past observed behaviour of the system to be forecast, including observations of useful predictors outside the system.

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conduct public surveys

Conduct the procedures of a public survey from the initial formulation and compilation of the questions, identifying the target audience, managing the survey method and operations, managing the processing of acquired data, and analysing the results.

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deliver visual presentation of data

Create visual representations of data such as charts or diagrams for easier understanding.

digital
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design questionnaires

Study the objectives of the research and imprint those aims into the design and development of questionnaires.

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develop financial statistics reports

Create financial and statistical reports based on collected data which are to be presented to managing bodies of an organisation.

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manage database

Apply database design schemes and models, define data dependencies, use query languages and database management systems (DBMS) to develop and manage databases.

digital
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perform clerical duties

Perform administrative tasks such as filing, typing up reports and maintaining mail correspondence.

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perform scientific research

Gain, correct or improve knowledge about phenomena by using scientific methods and techniques, based on empirical or measurable observations.

research
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produce statistical financial records

Review and analyse individual and company financial data in order to produce statistical reports or records.

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revise questionnaires

Read, analyse, and provide feedback on the accuracy and adequacy of questionnaires and their assessment fashion taking into account its purpose.

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tabulate survey results

Collate and organise the answers gathered in interviews or polls in order to be analysed and draw conclusions from them.

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use spreadsheets software

Use software tools to create and edit tabular data to carry out mathematical calculations, organise data and information, create diagrams based on data and to retrieve them.

digital
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