Table 1Transition record

statisticiantometeorologist

A statistician already meets 73% of what the meteorologist role asks for. The move turns on 7 required skills not yet in the profile.

From statistician

73%

Overlap1

To meteorologist

40 Skills carried over

7 Required, not held

39.9 Difficulty2

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 39.9

This move: 39.9 of 100 · moderate

1 Share of the meteorologist role’s weighted skill requirement already met by the statistician 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

Table 2 · What you already bring

Of the 40 skills that carry over, these are the ones fewest other occupations ask for. A meteorologist role needs them, and most people applying for one will not have them already. This is the part of a statistician background worth leading with.

Skill the target role also needs Area

already held quantitative analysis social sciences, journalism and information
already held mathematical modelling natural sciences, mathematics and statistics
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

All 40 carried skills, including the 33 the meteorologist role treats as required.

Table 3

Table 3 · What you would need to learn

The 25 missing skills fall into 5 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.

Skill to acquire Tier

01 information skills 5 required, 5 supplementary

required, not held carry out meteorological research required
required, not held review meteorological forecast data required
required, not held use meteorological tools to forecast meteorological conditions required
required, not held analyse weather forecast required
required, not held use specialised computer models for weather forecasting required

optional, not held collect weather-related data optional
optional, not held conduct research on climate processes optional
optional, not held develop models for weather forecast optional
optional, not held manage meteorological database optional
optional, not held study aerial photos optional

02 natural sciences, mathematics and statistics 2 required, 4 supplementary

required, not held climatology required
required, not held meteorology required

optional, not held geographic information systems optional
optional, not held hydrology optional
optional, not held geography optional
optional, not held oceanography optional

03 communication, collaboration and creativity 5 supplementary

optional, not held present during live broadcasts optional
optional, not held create weather maps optional
optional, not held design graphics optional
optional, not held design scientific equipment optional
optional, not held write weather briefing optional

04 working with machinery and specialised equipment 3 supplementary

optional, not held calibrate electronic instruments optional
optional, not held operate meteorological instruments optional
optional, not held operate remote sensing equipment optional

05 working with computers 1 supplementary

optional, not held use geographic information systems optional

Table 4

Table 4 · Where to start

The 3 entries a meteorologist role is least likely to hire without. The ordering is computed from the skill data, not from what pays.

Each entry opens a course search for that skill. Career Overlap earns nothing from these links.

Appendix

Appendix · The rest of the record

All 40 skills that carry over

Skill Type

already held apply for research funding skill
already held apply research ethics and scientific integrity principles in research activities skill
already held apply scientific methods skill
already held apply statistical analysis techniques skill
already held communicate with a non-scientific audience skill
already held conduct research across disciplines skill
already held demonstrate disciplinary expertise skill
already held develop professional network with researchers and scientists skill
already held disseminate results to the scientific community skill
already held draft scientific or academic papers and technical documentation skill
already held evaluate research activities skill
already held execute analytical mathematical calculations skill
already held increase the impact of science on policy and society skill
already held integrate gender dimension in research skill
already held interact professionally in research and professional environments skill
already held manage findable accessible interoperable and reusable data skill
already held manage intellectual property rights skill
already held manage open publications skill
already held manage personal professional development skill
already held manage research data skill
already held mathematics knowledge
already held mentor individuals skill
already held operate open source software skill
already held perform project management skill
already held perform scientific research skill
already held promote open innovation in research skill
already held promote the participation of citizens in scientific and research activities skill
already held promote the transfer of knowledge skill
already held publish academic research skill
already held speak different languages skill
already held synthesise information skill
already held think abstractly skill
already held write scientific publications skill
already held apply blended learning skill
already held assist scientific research skill
already held mathematical modelling knowledge
already held quantitative analysis knowledge
already held scientific research methodology knowledge
already held statistics knowledge
already held teach in academic or vocational contexts skill

18 supplementary skills, helpful but not required

Skill to acquire Tier

optional, not held geographic information systems optional
optional, not held hydrology optional
optional, not held present during live broadcasts optional
optional, not held use geographic information systems optional
optional, not held calibrate electronic instruments optional
optional, not held collect weather-related data optional
optional, not held conduct research on climate processes optional
optional, not held create weather maps optional
optional, not held design graphics optional
optional, not held design scientific equipment optional
optional, not held develop models for weather forecast optional
optional, not held geography optional
optional, not held manage meteorological database optional
optional, not held oceanography optional
optional, not held operate meteorological instruments optional
optional, not held operate remote sensing equipment optional
optional, not held study aerial photos optional
optional, not held write weather briefing optional

45 held skills the meteorologist role does not ask for

Skill Type

not needed by the target role advise on financial matters skill
not needed by the target role advise on legislative acts skill
not needed by the target role algorithms knowledge
not needed by the target role analyse big data skill
not needed by the target role biometrics knowledge
not needed by the target role build predictive models skill
not needed by the target role carry out statistical forecasts skill
not needed by the target role computer simulation knowledge
not needed by the target role conduct public surveys skill
not needed by the target role conduct quantitative research skill
not needed by the target role data ethics knowledge
not needed by the target role data quality assessment knowledge
not needed by the target role data science knowledge
not needed by the target role deliver visual presentation of data skill
not needed by the target role demography knowledge
not needed by the target role design questionnaires skill
not needed by the target role develop financial statistics reports skill
not needed by the target role develop scientific theories skill
not needed by the target role develop statistical software skill
not needed by the target role digital data processing skill
not needed by the target role gather data skill
not needed by the target role healthcare analytics knowledge
not needed by the target role identify statistical patterns skill
not needed by the target role information confidentiality knowledge
not needed by the target role manage database skill
not needed by the target role manage quantitative data skill
not needed by the target role market research knowledge
not needed by the target role marketing analytics knowledge
not needed by the target role multidisciplinary research knowledge
not needed by the target role opinion poll knowledge
not needed by the target role perform data analysis skill
not needed by the target role plan research process skill
not needed by the target role prepare lesson content skill
not needed by the target role present reports skill
not needed by the target role process data skill
not needed by the target role provide lesson materials skill
not needed by the target role research design knowledge
not needed by the target role scientific literature knowledge
not needed by the target role set theory knowledge
not needed by the target role social network analysis knowledge

5 further entries not listed here

6 gaps that are knowledge rather than practice

Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.

Skill to acquire Tier

required, not held climatology required
required, not held meteorology required
optional, not held geographic information systems optional
optional, not held hydrology optional
optional, not held geography optional
optional, not held oceanography optional

Index

Other moves recorded from statistician

Full index of moves from statistician

Note

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.