Table 1Transition record

predictive maintenance experttostatistical assistant

A predictive maintenance expert already meets 25% of what the statistical assistant role asks for. The move turns on 10 required skills not yet in the profile.

From predictive maintenance expert

25%

Overlap1

To statistical assistant

7 Skills carried over

10 Required, not held

71.5 Difficulty2

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 71.5

This move: 71.5 of 100 · substantial

1 Share of the statistical assistant role’s weighted skill requirement already met by the predictive maintenance expert 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 7 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 predictive maintenance expert background worth leading with.

Skill the target role also needs Area

already held gather data information skills
already held deliver visual presentation of data communication, collaboration and creativity
already held analyse big data information skills
already held apply statistical analysis techniques information skills
already held perform data analysis working with computers
already held statistics natural sciences, mathematics and statistics

All 7 carried skills, including the 5 the statistical assistant role treats as required.

Table 3

Table 3 · What you would need to learn

The 31 missing skills fall into 10 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, 11 supplementary

required, not held apply scientific methods required
required, not held conduct quantitative research required
required, not held execute analytical mathematical calculations required
required, not held identify statistical patterns required
required, not held process data required

optional, not held compile statistical data for insurance purposes optional
optional, not held conduct financial surveys 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 perform scientific research optional
optional, not held produce statistical financial records optional
optional, not held revise questionnaires optional
optional, not held tabulate survey results optional

02 communication, collaboration and creativity 2 required, 1 supplementary

required, not held write technical reports required
required, not held write work-related reports required

optional, not held assist scientific research optional

03 natural sciences, mathematics and statistics 1 required, 2 supplementary

required, not held statistical analysis system software required

optional, not held statistical modeling techniques optional
optional, not held survey techniques optional

04 working with computers 1 required, 1 supplementary

required, not held digital data processing required

optional, not held use spreadsheets software optional

05 social sciences, journalism and information 1 required

required, not held quantitative analysis required

06 information and communication technologies (icts) 2 supplementary

optional, not held algorithms optional
optional, not held data science optional

4 further areas in the appendix

Table 4

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.

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

Appendix

Appendix · The rest of the record

All 7 skills that carry over

Skill Type

already held apply statistical analysis techniques skill
already held gather data skill
already held mathematics knowledge
already held perform data analysis skill
already held statistics knowledge
already held analyse big data skill
already held deliver visual presentation of data skill

The 4 learning areas not shown above

Skill to acquire Tier

07 business, administration and law 1 supplementary

optional, not held data quality assessment optional

08 education 1 supplementary

optional, not held scientific research methodology optional

09 generic programmes and qualifications 1 supplementary

optional, not held research design optional

10 management skills 1 supplementary

optional, not held perform clerical duties optional

21 supplementary skills, helpful but not required

Skill to acquire Tier

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 assist scientific research 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 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 perform scientific research optional
optional, not held produce statistical financial records optional
optional, not held research design optional
optional, not held revise questionnaires optional
optional, not held scientific research methodology optional
optional, not held survey techniques optional
optional, not held tabulate survey results optional
optional, not held use spreadsheets software optional

18 held skills the statistical assistant role does not ask for

Skill Type

not needed by the target role ICT networking hardware knowledge
not needed by the target role advise on equipment maintenance skill
not needed by the target role apply information security policies skill
not needed by the target role automotive diagnostic equipment knowledge
not needed by the target role automotive engineering skill
not needed by the target role computer programming knowledge
not needed by the target role computer simulation knowledge
not needed by the target role design sensors skill
not needed by the target role develop data processing applications skill
not needed by the target role electrical engineering knowledge
not needed by the target role electricity knowledge
not needed by the target role electronics knowledge
not needed by the target role ensure equipment maintenance skill
not needed by the target role manage data skill
not needed by the target role model sensor skill
not needed by the target role predictive maintenance knowledge
not needed by the target role test sensors skill
not needed by the target role use automotive diagnostic equipment skill

9 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 quantitative analysis required
required, not held 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 scientific research methodology optional
optional, not held survey techniques optional

Index

Other moves recorded from predictive maintenance expert

Full index of moves from predictive maintenance expert

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.