Career Overlap Transition record Edition 1 · ESCO v1.2.1
Table 1Transition record

market research analysttostatistical assistant

A market research analyst already meets 41% of what the statistical assistant role asks for. The move turns on 8 required skills not yet in the profile.

From market research analyst
41%
Overlap1
To statistical assistant
14 Skills carried over
8 Required, not held
57.8 Difficulty2
Career overlap Partial match

41%

Learning distance Substantial retraining

57.8/ 100

1 Share of the statistical assistant role’s weighted skill requirement already met by the market research analyst 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

Why this move works

A statistical assistant role treats 7 of its required skills as things a market research analyst already does. These are the ones it depends on most.

  • apply statistical analysis techniques
  • conduct quantitative research
  • digital data processing
  • gather data
  • perform data analysis
  • quantitative analysis

What stands in the way is 8 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.

Table 2

Table 2 · What you already bring

Of the 14 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 market research analyst background worth leading with.

Skill the target role also needs Area
  • already held tabulate survey results information skills
  • already held design questionnaires information skills
  • already held gather data information skills
  • already held deliver visual presentation of data communication, collaboration and creativity
  • already held quantitative analysis social sciences, journalism and information
  • already held data quality assessment business, administration and law

All 14 carried skills, including the 7 the statistical assistant role treats as required.

Table 3

Table 3 · What you would need to learn

The 24 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.

Skill to acquire Tier
01 information skills 4 required, 7 supplementary
  • required, not held apply scientific methods 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 develop financial statistics reports optional
  • optional, not held perform scientific research optional
  • optional, not held produce statistical financial records optional
  • optional, not held revise questionnaires optional
02 natural sciences, mathematics and statistics 2 required, 2 supplementary
  • required, not held mathematics required
  • required, not held statistical analysis system software required
  • optional, not held statistical modeling techniques optional
  • optional, not held survey techniques optional
03 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
04 information and communication technologies (icts) 2 supplementary
  • optional, not held algorithms optional
  • optional, not held data science optional
05 education 1 supplementary
  • optional, not held scientific research methodology optional
06 generic programmes and qualifications 1 supplementary
  • optional, not held research design optional

2 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 14 skills that carry over
Skill Type
  • already held apply statistical analysis techniques skill
  • already held conduct quantitative research skill
  • already held digital data processing skill
  • already held gather data skill
  • already held perform data analysis skill
  • already held quantitative analysis knowledge
  • already held statistics knowledge
  • already held analyse big data skill
  • already held conduct public surveys skill
  • already held data quality assessment knowledge
  • already held deliver visual presentation of data skill
  • already held design questionnaires skill
  • already held manage database skill
  • already held tabulate survey results skill
The 2 learning areas not shown above
Skill to acquire Tier
07 management skills 1 supplementary
  • optional, not held perform clerical duties optional
08 working with computers 1 supplementary
  • optional, not held use spreadsheets software optional
16 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 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 data science optional
  • optional, not held develop financial statistics reports 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 use spreadsheets software optional
58 held skills the statistical assistant role does not ask for
Skill Type
  • not needed by the target role LDAP knowledge
  • not needed by the target role LINQ knowledge
  • not needed by the target role MDX knowledge
  • not needed by the target role N1QL knowledge
  • not needed by the target role SPARQL knowledge
  • not needed by the target role XQuery knowledge
  • not needed by the target role advise on market strategies skill
  • not needed by the target role analyse consumer buying trends skill
  • not needed by the target role analyse economic trends skill
  • not needed by the target role analyse external factors of companies skill
  • not needed by the target role analyse internal factors of companies skill
  • not needed by the target role analyse market financial trends skill
  • not needed by the target role analyse supply chain trends skill
  • not needed by the target role apply knowledge of human behaviour skill
  • not needed by the target role apply technical communication skills skill
  • not needed by the target role build predictive models skill
  • not needed by the target role business analysis knowledge
  • not needed by the target role collaborate in the development of marketing strategies skill
  • not needed by the target role conduct qualitative research skill
  • not needed by the target role conduct research interview skill
  • not needed by the target role consumer goods industry knowledge
  • not needed by the target role customer insight knowledge
  • not needed by the target role customer segmentation knowledge
  • not needed by the target role customer service knowledge
  • not needed by the target role database knowledge
  • not needed by the target role demography knowledge
  • not needed by the target role document interviews skill
  • not needed by the target role document project progress skill
  • not needed by the target role draw conclusions from market research results skill
  • not needed by the target role establish data processes skill
  • not needed by the target role evaluate interview reports skill
  • not needed by the target role follow the news skill
  • not needed by the target role forecast economic trends skill
  • not needed by the target role identify customer's needs skill
  • not needed by the target role identify market niches skill
  • not needed by the target role identify potential markets for companies skill
  • not needed by the target role information confidentiality knowledge
  • not needed by the target role interview techniques knowledge
  • not needed by the target role keep updated on innovations in various business fields skill
  • not needed by the target role make strategic business decisions skill

18 further entries not listed here

8 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 mathematics required
  • required, not held statistical analysis system software required
  • 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
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.