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.
41%
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 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 · 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.
- 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 · 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.
- 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
- 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
- required, not held write technical reports required
- required, not held write work-related reports required
- optional, not held assist scientific research optional
- optional, not held algorithms optional
- optional, not held data science optional
- optional, not held scientific research methodology optional
- optional, not held research design optional
2 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 apply scientific methods skill · cross sector
- 02 execute analytical mathematical calculations skill · cross sector
- 03 identify statistical patterns skill · cross sector
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 14 skills that carry over
- 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
- optional, not held perform clerical duties optional
- optional, not held use spreadsheets software optional
16 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 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
- 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.
- 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
Other moves recorded from market research analyst
- market research interviewer 44% covered · substantial
- data entry clerk 39% covered · substantial
- data entry supervisor 38% covered · substantial
- data quality specialist 37% covered · substantial
- business economics researcher 36% covered · substantial
- survey enumerator 36% covered · substantial
- data analyst 30% covered · career change
- marketing consultant 29% covered · career change
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.