statistical assistanttostatistician
A statistical assistant already meets 36% of what the statistician role asks for. The move turns on 31 required skills not yet in the profile.
This move: 74.8 of 100 · substantial
1 Share of the statistician role’s weighted skill requirement already met by the statistical assistant profile. Required skills count in full, supplementary skills at 0.35. Directional: the figure for the reverse move differs. 2 Combines what is missing with how specialised it is, so a gap of general skills scores easier than the same number of narrow ones.
Table 2 · What you already bring
Of the 29 skills that carry over, these are the ones fewest other occupations ask for. A statistician role needs them, and most people applying for one will not have them already. This is the part of a statistical assistant background worth leading with.
- already held identify statistical patterns information skills
- already held statistical modeling techniques natural sciences, mathematics and statistics
- already held algorithms information and communication technologies (icts)
- already held design questionnaires information skills
- already held data science information and communication technologies (icts)
- already held gather data information skills
All 29 carried skills, including the 19 the statistician role treats as required.
Table 3 · What you would need to learn
The 56 missing skills fall into 11 areas of the ESCO skill hierarchy, numbered below in the order worth working in: the areas carrying the most required skills come first, and inside each one the required skills sit above the supplementary ones.
- required, not held manage intellectual property rights required
- required, not held communicate with a non-scientific audience required
- required, not held develop professional network with researchers and scientists required
- required, not held disseminate results to the scientific community required
- required, not held draft scientific or academic papers and technical documentation required
- required, not held evaluate research activities required
- required, not held increase the impact of science on policy and society required
- required, not held interact professionally in research and professional environments required
- required, not held mentor individuals required
- required, not held promote the transfer of knowledge required
- required, not held publish academic research required
- required, not held speak different languages required
- required, not held think abstractly required
- required, not held write scientific publications required
- optional, not held advise on financial matters optional
- optional, not held advise on legislative acts optional
- optional, not held apply blended learning optional
- optional, not held prepare lesson content optional
- optional, not held present reports optional
- optional, not held provide lesson materials optional
- optional, not held teach in academic or vocational contexts optional
- optional, not held write research proposals optional
- required, not held apply for research funding required
- required, not held apply research ethics and scientific integrity principles in research activities required
- required, not held conduct research across disciplines required
- required, not held demonstrate disciplinary expertise required
- required, not held integrate gender dimension in research required
- required, not held manage findable accessible interoperable and reusable data required
- required, not held manage research data required
- required, not held promote open innovation in research required
- required, not held promote the participation of citizens in scientific and research activities required
- required, not held synthesise information required
- optional, not held build predictive models optional
- optional, not held develop scientific theories optional
- optional, not held plan research process optional
- optional, not held use mathematical tools and equipment optional
- required, not held operate open source software required
- required, not held manage open publications required
- optional, not held develop statistical software optional
- optional, not held manage quantitative data optional
- required, not held manage personal professional development required
- required, not held perform project management required
- required, not held mathematical modelling required
- optional, not held set theory optional
- optional, not held biometrics optional
- required, not held scientific literature required
- optional, not held multidisciplinary research optional
5 further areas in the appendix
Table 4 · Where to start
The 3 entries a statistician role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 manage intellectual property rights skill · sector specific
- 02 operate open source software skill · sector specific
- 03 apply for research funding skill · cross sector
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 29 skills that carry over
- already held apply scientific methods skill
- already held apply statistical analysis techniques skill
- already held conduct quantitative research skill
- already held data quality assessment knowledge
- already held data science knowledge
- already held digital data processing skill
- already held execute analytical mathematical calculations skill
- already held gather data skill
- already held identify statistical patterns skill
- already held mathematics knowledge
- already held perform data analysis skill
- already held perform scientific research skill
- already held process data skill
- already held quantitative analysis knowledge
- already held research design knowledge
- already held scientific research methodology knowledge
- already held statistical analysis system software knowledge
- already held statistical modeling techniques knowledge
- already held statistics knowledge
- already held algorithms knowledge
- already held analyse big data skill
- already held assist scientific research skill
- already held carry out statistical forecasts skill
- already held conduct public surveys skill
- already held deliver visual presentation of data skill
- already held design questionnaires skill
- already held develop financial statistics reports skill
- already held manage database skill
- already held use spreadsheets software skill
The 5 learning areas not shown above
- required, not held data ethics required
- optional, not held demography optional
- optional, not held opinion poll optional
- optional, not held social network analysis optional
- optional, not held market research optional
- optional, not held marketing analytics optional
- optional, not held information confidentiality optional
- optional, not held computer simulation optional
- optional, not held healthcare analytics optional
25 supplementary skills, helpful but not required
- optional, not held build predictive models optional
- optional, not held develop scientific theories optional
- optional, not held healthcare analytics optional
- optional, not held information confidentiality optional
- optional, not held plan research process optional
- optional, not held set theory optional
- optional, not held advise on financial matters optional
- optional, not held advise on legislative acts optional
- optional, not held apply blended learning optional
- optional, not held biometrics optional
- optional, not held computer simulation optional
- optional, not held demography optional
- optional, not held develop statistical software optional
- optional, not held manage quantitative data optional
- optional, not held market research optional
- optional, not held marketing analytics optional
- optional, not held multidisciplinary research optional
- optional, not held opinion poll optional
- optional, not held prepare lesson content optional
- optional, not held present reports optional
- optional, not held provide lesson materials optional
- optional, not held social network analysis optional
- optional, not held teach in academic or vocational contexts optional
- optional, not held use mathematical tools and equipment optional
- optional, not held write research proposals optional
9 held skills the statistician role does not ask for
- not needed by the target role compile statistical data for insurance purposes skill
- not needed by the target role conduct financial surveys skill
- not needed by the target role perform clerical duties skill
- not needed by the target role produce statistical financial records skill
- not needed by the target role revise questionnaires skill
- not needed by the target role survey techniques knowledge
- not needed by the target role tabulate survey results skill
- not needed by the target role write technical reports skill
- not needed by the target role write work-related reports skill
14 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- required, not held data ethics required
- required, not held mathematical modelling required
- required, not held scientific literature required
- optional, not held healthcare analytics optional
- optional, not held information confidentiality optional
- optional, not held set theory optional
- optional, not held biometrics optional
- optional, not held computer simulation optional
- optional, not held demography optional
- optional, not held market research optional
- optional, not held marketing analytics optional
- optional, not held multidisciplinary research optional
- optional, not held opinion poll optional
- optional, not held social network analysis optional
Other moves recorded from statistical assistant
How this record was compiled
Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.