market research analysttodata quality specialist
A market research analyst already meets 36% of what the data quality specialist role asks for. The move turns on 14 required skills not yet in the profile.
36%
66.2/ 100
1 Share of the data quality specialist 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 data quality specialist role treats 6 of its required skills as things a market research analyst already does. These are the ones it depends on most.
- database
- establish data processes
- manage data
- manage database
- query languages
- resource description framework query language
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 17 skills that carry over, these are the ones fewest other occupations ask for. A data quality specialist 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 establish data processes working with computers
- already held database information and communication technologies (icts)
- already held data quality assessment business, administration and law
- already held manage database information skills
- already held LDAP information and communication technologies (icts)
- already held MDX information and communication technologies (icts)
All 17 carried skills, including the 6 the data quality specialist role treats as required.
Table 3 · What you would need to learn
The 23 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 utilise regular expressions required
- required, not held normalise data required
- required, not held implement data quality processes required
- required, not held perform data cleansing required
- required, not held use data processing techniques required
- required, not held handle data samples required
- required, not held process data required
- required, not held report analysis results required
- optional, not held execute ICT audits optional
- optional, not held execute analytical mathematical calculations optional
- required, not held design database scheme required
- required, not held address problems critically required
- optional, not held design database in the cloud optional
- optional, not held build business relationships optional
- optional, not held train employees optional
- required, not held define data quality criteria required
- required, not held manage standards for data exchange required
- optional, not held manage schedule of tasks optional
- required, not held information structure required
- optional, not held data engineering optional
- required, not held data ethics required
2 further areas in the appendix
Table 4 · Where to start
The 3 entries a data quality specialist role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 utilise regular expressions skill · occupation specific
- 02 define data quality criteria skill · sector specific
- 03 design database scheme 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 17 skills that carry over
- already held database knowledge
- already held establish data processes skill
- already held manage data skill
- already held manage database skill
- already held query languages knowledge
- already held resource description framework query language knowledge
- already held LDAP knowledge
- already held LINQ knowledge
- already held MDX knowledge
- already held N1QL knowledge
- already held SPARQL knowledge
- already held XQuery knowledge
- already held data quality assessment knowledge
- already held perform data analysis skill
- already held perform project management skill
- already held statistics knowledge
- already held visual presentation techniques knowledge
The 2 learning areas not shown above
- optional, not held business processes optional
- optional, not held healthcare analytics optional
9 supplementary skills, helpful but not required
- optional, not held design database in the cloud optional
- optional, not held execute ICT audits optional
- optional, not held healthcare analytics optional
- optional, not held build business relationships optional
- optional, not held business processes optional
- optional, not held data engineering optional
- optional, not held execute analytical mathematical calculations optional
- optional, not held manage schedule of tasks optional
- optional, not held train employees optional
55 held skills the data quality specialist role does not ask for
- not needed by the target role advise on market strategies skill
- not needed by the target role analyse big data 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 statistical analysis techniques 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 public surveys skill
- not needed by the target role conduct qualitative research skill
- not needed by the target role conduct quantitative 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 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 digital data processing skill
- 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 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 gather data 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
15 further entries not listed here
5 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 information structure required
- required, not held data ethics required
- optional, not held healthcare analytics optional
- optional, not held business processes optional
- optional, not held data engineering optional
Other moves recorded from market research analyst
- market research interviewer 44% covered · substantial
- statistical assistant 41% covered · substantial
- data entry clerk 39% covered · substantial
- data entry supervisor 38% 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.