Statistical assistant to statistician
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.
74.8/ 100
1 How much of what a statistician is expected to do is already part of a statistical assistant’s work. Directional: the figure for the reverse move differs, because moving into a speciality is not the same problem as moving out of one. 2 Every skill the statistician role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A statistician role treats 19 of its required skills as things a statistical assistant already does. You would walk in with these on day one.
- apply scientific methods
- apply statistical analysis techniques
- conduct quantitative research
- data quality assessment
- data science
- digital data processing
What stands in the way is 31 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
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 may need to learn
The 56 missing skills fall into 11 areas of the ESCO skill hierarchy, numbered in the order worth working in. Areas carrying the most required skills come first, and inside each one the required skills sit above the optional ones. Nothing here is a verdict on you: it is a list of what this particular job asks for that your current one does not.
- still to learn manage intellectual property rights required
- still to learn communicate with a non-scientific audience required
- still to learn develop professional network with researchers and scientists required
- still to learn disseminate results to the scientific community required
- still to learn draft scientific or academic papers and technical documentation required
- still to learn evaluate research activities required
- still to learn increase the impact of science on policy and society required
- still to learn interact professionally in research and professional environments required
- still to learn mentor individuals required
- still to learn promote the transfer of knowledge required
- still to learn publish academic research required
- still to learn speak different languages required
- still to learn think abstractly required
- still to learn 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
- still to learn apply for research funding required
- still to learn apply research ethics and scientific integrity principles in research activities required
- still to learn conduct research across disciplines required
- still to learn demonstrate disciplinary expertise required
- still to learn integrate gender dimension in research required
- still to learn manage findable accessible interoperable and reusable data required
- still to learn manage research data required
- still to learn promote open innovation in research required
- still to learn promote the participation of citizens in scientific and research activities required
- still to learn 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
- still to learn operate open source software required
- still to learn manage open publications required
- optional, not held develop statistical software optional
- optional, not held manage quantitative data optional
- still to learn manage personal professional development required
- still to learn perform project management required
- still to learn mathematical modelling required
- optional, not held set theory optional
- optional, not held biometrics optional
- still to learn 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 practise this
- 02 operate open source software practise this
- 03 apply for research funding practise this
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
- still to learn 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.
- still to learn data ethics required
- still to learn mathematical modelling required
- still to learn 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
Common questions about this move
Can a statistical assistant become a statistician?
Yes, and it is a substantial move. A statistical assistant already covers 36% of what a statistician is expected to do: 29 skills carry over, 19 of which the statistician role treats as required.
What skills does a statistical assistant need to become a statistician?
31 required skills are missing, plus 25 optional ones. They fall into 11 areas of the ESCO skill hierarchy, led by communication, collaboration and creativity. The single most important is manage intellectual property rights.
How hard is the move from statistical assistant to statistician?
Its learning distance is 74.8 out of 100, which is the substantial band. That accounts for both how much is missing and how specialised those skills are.
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.