statistical assistanttopredictive maintenance expert
A statistical assistant already meets 29% of what the predictive maintenance expert role asks for. The move turns on 14 required skills not yet in the profile.
29%
69.6/ 100
1 Share of the predictive maintenance expert 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.
Why this move works
A predictive maintenance expert role treats 6 of its required skills as things a statistical assistant already does. These are the ones it depends on most.
- analyse big data
- apply statistical analysis techniques
- gather data
- mathematics
- perform data analysis
- statistics
What stands in the way is 14 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 7 skills that carry over, these are the ones fewest other occupations ask for. A predictive maintenance expert 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 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 6 the predictive maintenance expert role treats as required.
Table 3 · What you would need to learn
The 18 missing skills fall into 8 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 predictive maintenance required
- required, not held electrical engineering required
- required, not held electricity required
- required, not held electronics required
- optional, not held automotive diagnostic equipment optional
- required, not held design sensors required
- required, not held model sensor required
- required, not held advise on equipment maintenance required
- optional, not held automotive engineering optional
- required, not held ICT networking hardware required
- required, not held computer programming required
- optional, not held computer simulation optional
- required, not held test sensors required
- optional, not held use automotive diagnostic equipment optional
- required, not held apply information security policies required
- required, not held manage data required
2 further areas in the appendix
Table 4 · Where to start
The 3 entries a predictive maintenance expert role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 develop data processing applications skill · occupation specific
- 02 predictive maintenance knowledge · occupation specific
- 03 apply information security policies skill · sector specific
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 7 skills that carry over
- already held analyse big data skill
- 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 deliver visual presentation of data skill
The 2 learning areas not shown above
- required, not held ensure equipment maintenance required
- required, not held develop data processing applications required
4 supplementary skills, helpful but not required
- optional, not held automotive diagnostic equipment optional
- optional, not held use automotive diagnostic equipment optional
- optional, not held automotive engineering optional
- optional, not held computer simulation optional
31 held skills the predictive maintenance expert role does not ask for
- not needed by the target role algorithms knowledge
- not needed by the target role apply scientific methods skill
- not needed by the target role assist scientific research skill
- not needed by the target role carry out statistical forecasts skill
- 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 conduct public surveys skill
- not needed by the target role conduct quantitative research skill
- 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 design questionnaires skill
- not needed by the target role develop financial statistics reports skill
- not needed by the target role digital data processing skill
- not needed by the target role execute analytical mathematical calculations skill
- not needed by the target role identify statistical patterns skill
- not needed by the target role manage database skill
- not needed by the target role perform clerical duties skill
- not needed by the target role perform scientific research skill
- not needed by the target role process data skill
- not needed by the target role produce statistical financial records skill
- not needed by the target role quantitative analysis knowledge
- not needed by the target role research design knowledge
- not needed by the target role revise questionnaires skill
- not needed by the target role scientific research methodology knowledge
- not needed by the target role statistical analysis system software knowledge
- not needed by the target role statistical modeling techniques knowledge
- 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 use spreadsheets software skill
- not needed by the target role write technical reports skill
- not needed by the target role write work-related reports 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.
- required, not held predictive maintenance required
- required, not held ICT networking hardware required
- required, not held computer programming required
- required, not held electrical engineering required
- required, not held electricity required
- required, not held electronics required
- optional, not held automotive diagnostic equipment optional
- optional, not held computer simulation optional
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.