Meteorology technician to statistical assistant
A meteorology technician already meets 31% of what the statistical assistant role asks for. The move turns on 9 required skills not yet in the profile.
66.8/ 100
1 How much of what a statistical assistant is expected to do is already part of a meteorology technician’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 statistical assistant role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A statistical assistant role treats 6 of its required skills as things a meteorology technician already does. You would walk in with these on day one.
- apply scientific methods
- apply statistical analysis techniques
- execute analytical mathematical calculations
- mathematics
- statistics
- write technical reports
What stands in the way is 9 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 9 skills that carry over, these are the ones fewest other occupations ask for. A statistical assistant role needs them, and most people applying for one will not have them already. This is the part of a meteorology technician background worth leading with.
- already held write technical reports communication, collaboration and creativity
- already held assist scientific research communication, collaboration and creativity
- already held apply statistical analysis techniques information skills
- already held apply scientific methods information skills
- already held execute analytical mathematical calculations information skills
- already held statistics natural sciences, mathematics and statistics
All 9 carried skills, including the 6 the statistical assistant role treats as required.
Table 3 · What you may need to learn
The 29 missing skills fall into 9 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 conduct quantitative research required
- still to learn gather data required
- still to learn identify statistical patterns required
- still to learn process data required
- optional, not held compile statistical data for insurance purposes optional
- optional, not held conduct financial surveys optional
- optional, not held analyse big data optional
- optional, not held carry out statistical forecasts optional
- optional, not held conduct public surveys optional
- optional, not held design questionnaires optional
- optional, not held develop financial statistics reports optional
- optional, not held manage database optional
- optional, not held produce statistical financial records optional
- optional, not held revise questionnaires optional
- optional, not held tabulate survey results optional
- still to learn digital data processing required
- still to learn perform data analysis required
- optional, not held use spreadsheets software optional
- still to learn statistical analysis system software required
- optional, not held statistical modeling techniques optional
- optional, not held survey techniques optional
- still to learn write work-related reports required
- optional, not held deliver visual presentation of data optional
- still to learn quantitative analysis required
- optional, not held algorithms optional
- optional, not held data science optional
3 further areas in the appendix
Table 4 · Where to start
The 3 entries a statistical assistant role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 digital data processing practise this
- 02 conduct quantitative research practise this
- 03 gather data 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 9 skills that carry over
- already held apply scientific methods skill
- already held apply statistical analysis techniques skill
- already held execute analytical mathematical calculations skill
- already held mathematics knowledge
- already held statistics knowledge
- already held write technical reports skill
- already held assist scientific research skill
- already held perform scientific research skill
- already held scientific research methodology knowledge
The 3 learning areas not shown above
- optional, not held data quality assessment optional
- optional, not held research design optional
- optional, not held perform clerical duties optional
20 supplementary skills, helpful but not required
- optional, not held compile statistical data for insurance purposes optional
- optional, not held conduct financial surveys optional
- optional, not held data quality assessment optional
- optional, not held statistical modeling techniques optional
- optional, not held algorithms optional
- optional, not held analyse big data optional
- optional, not held carry out statistical forecasts optional
- optional, not held conduct public surveys optional
- optional, not held data science optional
- optional, not held deliver visual presentation of data optional
- optional, not held design questionnaires optional
- optional, not held develop financial statistics reports optional
- optional, not held manage database optional
- optional, not held perform clerical duties optional
- optional, not held produce statistical financial records optional
- optional, not held research design optional
- optional, not held revise questionnaires optional
- optional, not held survey techniques optional
- optional, not held tabulate survey results optional
- optional, not held use spreadsheets software optional
26 held skills the statistical assistant role does not ask for
- not needed by the target role advise on weather-related issues skill
- not needed by the target role analyse scientific data skill
- not needed by the target role analyse weather forecast skill
- not needed by the target role calibrate optical instruments skill
- not needed by the target role carry out meteorological research skill
- not needed by the target role climatology knowledge
- not needed by the target role collect weather-related data skill
- not needed by the target role conduct research on climate processes skill
- not needed by the target role create weather maps skill
- not needed by the target role design scientific equipment skill
- not needed by the target role maintain equipment skill
- not needed by the target role manage meteorological database skill
- not needed by the target role meet deadlines skill
- not needed by the target role meteorology knowledge
- not needed by the target role operate meteorological instruments skill
- not needed by the target role operate precision measuring equipment skill
- not needed by the target role operate remote sensing equipment skill
- not needed by the target role precision measuring instruments knowledge
- not needed by the target role review meteorological forecast data skill
- not needed by the target role study aerial photos skill
- not needed by the target role use communication devices skill
- not needed by the target role use geographic information systems skill
- not needed by the target role use meteorological tools to forecast meteorological conditions skill
- not needed by the target role use specialised computer models for weather forecasting skill
- not needed by the target role write scientific publications skill
- not needed by the target role write weather briefing skill
8 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 quantitative analysis required
- still to learn statistical analysis system software required
- optional, not held data quality assessment optional
- optional, not held statistical modeling techniques optional
- optional, not held algorithms optional
- optional, not held data science optional
- optional, not held research design optional
- optional, not held survey techniques optional
Other moves recorded from meteorology technician
Common questions about this move
Can a meteorology technician become a statistical assistant?
Yes, and it is a substantial move. A meteorology technician already covers 31% of what a statistical assistant is expected to do: 9 skills carry over, 6 of which the statistical assistant role treats as required.
What skills does a meteorology technician need to become a statistical assistant?
9 required skills are missing, plus 20 optional ones. They fall into 9 areas of the ESCO skill hierarchy, led by information skills. The single most important is digital data processing.
How hard is the move from meteorology technician to statistical assistant?
Its learning distance is 66.8 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.