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statistician/references/skills.md
2026-08-14 16:46:11 +02:00

4.7 KiB

Competences — statistician

Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/ac8b3cd1-a127-4e6a-8208-5cfcf7111955).

Essential

  • apply for research funding (skill/competence)
  • apply research ethics and scientific integrity principles in research activities (skill/competence)
  • apply scientific methods (skill/competence)
  • apply statistical analysis techniques (skill/competence)
  • communicate with a non-scientific audience (skill/competence)
  • conduct quantitative research (skill/competence)
  • conduct research across disciplines (skill/competence)
  • data ethics (knowledge)
  • data quality assessment (knowledge)
  • data science (knowledge)
  • demonstrate disciplinary expertise (skill/competence)
  • develop professional network with researchers and scientists (skill/competence)
  • digital data processing (nan)
  • disseminate results to the scientific community (skill/competence)
  • draft scientific or academic papers and technical documentation (skill/competence)
  • evaluate research activities (skill/competence)
  • execute analytical mathematical calculations (skill/competence)
  • gather data (skill/competence)
  • identify statistical patterns (skill/competence)
  • increase the impact of science on policy and society (skill/competence)
  • integrate gender dimension in research (skill/competence)
  • interact professionally in research and professional environments (skill/competence)
  • manage findable accessible interoperable and reusable data (skill/competence)
  • manage intellectual property rights (skill/competence)
  • manage open publications (skill/competence)
  • manage personal professional development (skill/competence)
  • manage research data (skill/competence)
  • mathematical modelling (knowledge)
  • mathematics (knowledge)
  • mentor individuals (skill/competence)
  • operate open source software (skill/competence)
  • perform data analysis (skill/competence)
  • perform project management (skill/competence)
  • perform scientific research (skill/competence)
  • process data (skill/competence)
  • promote open innovation in research (skill/competence)
  • promote the participation of citizens in scientific and research activities (skill/competence)
  • promote the transfer of knowledge (skill/competence)
  • publish academic research (skill/competence)
  • quantitative analysis (knowledge)
  • research design (knowledge)
  • scientific literature (knowledge)
  • scientific research methodology (knowledge)
  • speak different languages (skill/competence)
  • statistical analysis system software (knowledge)
  • statistical modeling techniques (knowledge)
  • statistics (knowledge)
  • synthesise information (skill/competence)
  • think abstractly (skill/competence)
  • write scientific publications (skill/competence)

Optional

  • advise on financial matters (skill/competence)
  • advise on legislative acts (skill/competence)
  • algorithms (knowledge)
  • analyse big data (skill/competence)
  • apply blended learning (skill/competence)
  • assist scientific research (skill/competence)
  • biometrics (knowledge)
  • build predictive models (skill/competence)
  • carry out statistical forecasts (skill/competence)
  • computer simulation (knowledge)
  • conduct public surveys (skill/competence)
  • deliver visual presentation of data (skill/competence)
  • demography (knowledge)
  • design questionnaires (skill/competence)
  • develop financial statistics reports (skill/competence)
  • develop scientific theories (skill/competence)
  • develop statistical software (skill/competence)
  • healthcare analytics (knowledge)
  • information confidentiality (knowledge)
  • manage database (skill/competence)
  • manage quantitative data (skill/competence)
  • market research (knowledge)
  • marketing analytics (knowledge)
  • multidisciplinary research (knowledge)
  • opinion poll (knowledge)
  • plan research process (skill/competence)
  • prepare lesson content (skill/competence)
  • present reports (skill/competence)
  • provide lesson materials (skill/competence)
  • set theory (knowledge)
  • social network analysis (knowledge)
  • teach in academic or vocational contexts (skill/competence)
  • use mathematical tools and equipment (skill/competence)
  • use spreadsheets software (skill/competence)
  • write research proposals (skill/competence)

Market evidence (job-ad analysis, 50 ads, as of 2026-07-20)

Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.

Hard skills

  • statistical analysis — 64 %
  • data analysis — 30 %
  • experimental design — 20 %

Responsibilities

  • data analysis — 40 %