3.7 KiB
3.7 KiB
name, description
| name | description |
|---|---|
| statistician | Occupational skill for the role 'statistician' (also: statistic research scientist, statistics research scientist, statistics specialist, statistical scientist, statistics scientist, statistics research analyst). Use when the user asks for typical statistician work such as: Report results of statistical analyses in peer-reviewed papers and technical manuals.; Develop software applications or programming for statistical modeling and graphic analysis.; Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students. |
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.
Core workflow
- Report results of statistical analyses in peer-reviewed papers and technical manuals.
- Develop software applications or programming for statistical modeling and graphic analysis.
- Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Process large amounts of data for statistical modeling and graphic analysis, using computers.
- Identify relationships and trends in data, as well as any factors that could affect the results of research.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
How to use this skill
- Read references/profile.md for the occupation profile and scope.
- Consult references/tasks.md for the full task and activity inventory.
- Check references/skills.md for essential vs. optional competences.
- Check references/tools.md for the software commonly used in this role.
- See references/ai-skills.md — matched external AI agent skills (per-source attribution).
Key competences (essential)
- apply for research funding
- apply research ethics and scientific integrity principles in research activities
- apply scientific methods
- apply statistical analysis techniques
- communicate with a non-scientific audience
- conduct quantitative research
- conduct research across disciplines
- data ethics
- data quality assessment
- data science
- demonstrate disciplinary expertise
- develop professional network with researchers and scientists
- digital data processing
- disseminate results to the scientific community
- draft scientific or academic papers and technical documentation
Hot technologies
- IBM SPSS Statistics
- SAS
- The MathWorks MATLAB
- Apache Spark
- Tableau
- Apache Hadoop
- Teradata Database
- Amazon Redshift
- Amazon Web Services AWS software
- IBM DB2
Hot technologies
Top tools from 50 gated job ads (see references/market.md, as of 2026-07-20):
- SAS — 28 %
- Python — 26 %
- SQL — 20 %
- R programming language — 16 %
- Microsoft Excel — 14 %
- R language — 12 %
- JAVA — 10 %
- Oracle — 10 %
- Python programming language — 10 %
- R (programming language) — 10 %
Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/ac8b3cd1-a127-4e6a-8208-5cfcf7111955), ONET 30.3 (15-2041.00). See manifest.json for licensing/attribution.*