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

data quality specialisttodata analyst

A data quality specialist already meets 43% of what the data analyst role asks for. The move turns on 19 required skills not yet in the profile.

From data quality specialist
43%
Overlap1
To data analyst
26 Skills carried over
19 Required, not held
68.3 Difficulty2
Career overlap Partial match

43%

Learning distance Substantial retraining

68.3/ 100

1 Share of the data analyst role’s weighted skill requirement already met by the data quality specialist 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 data analyst role treats 17 of its required skills as things a data quality specialist already does. These are the ones it depends on most.

  • data engineering
  • data ethics
  • data quality assessment
  • define data quality criteria
  • establish data processes
  • execute analytical mathematical calculations

What stands in the way is 19 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 26 skills that carry over, these are the ones fewest other occupations ask for. A data analyst role needs them, and most people applying for one will not have them already. This is the part of a data quality specialist background worth leading with.

Skill the target role also needs Area
  • already held handle data samples information skills
  • already held data ethics arts and humanities
  • already held normalise data working with computers
  • already held healthcare analytics health and welfare
  • already held implement data quality processes working with computers
  • already held perform data cleansing working with computers

All 26 carried skills, including the 17 the data analyst role treats as required.

Table 3

Table 3 · What you would need to learn

The 41 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 and communication technologies (icts) 7 required, 7 supplementary
  • required, not held data mining required
  • required, not held data models required
  • required, not held information confidentiality required
  • required, not held information extraction required
  • required, not held unstructured data required
  • required, not held data science required
  • required, not held data visualisation software required
  • optional, not held Hadoop optional
  • optional, not held cloud technologies optional
  • optional, not held data storage optional
  • optional, not held information architecture optional
  • optional, not held online analytical processing optional
  • optional, not held image recognition optional
  • optional, not held web analytics optional
02 information skills 4 required, 5 supplementary
  • required, not held analyse big data required
  • required, not held apply statistical analysis techniques required
  • required, not held collect ICT data required
  • required, not held interpret current data required
  • optional, not held create data models optional
  • optional, not held gather data for forensic purposes optional
  • optional, not held manage cloud data and storage optional
  • optional, not held manage data collection systems optional
  • optional, not held make data-driven decisions optional
03 working with computers 4 required, 3 supplementary
  • required, not held digital data processing required
  • required, not held integrate ICT data required
  • required, not held perform data mining required
  • required, not held use databases required
  • optional, not held manage quantitative data optional
  • optional, not held store digital data and systems optional
  • optional, not held use spreadsheets software optional
04 social sciences, journalism and information 2 required, 1 supplementary
  • required, not held documentation types required
  • required, not held information categorisation required
  • optional, not held social network analysis optional
05 natural sciences, mathematics and statistics 1 required, 2 supplementary
  • required, not held business analytics required
  • optional, not held statistical modeling techniques optional
  • optional, not held game theory optional
06 business, administration and law 1 required, 1 supplementary
  • required, not held business intelligence required
  • optional, not held marketing analytics optional

2 further areas in the appendix

Table 4

Table 4 · Where to start

The 3 entries a data analyst 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 26 skills that carry over
Skill Type
  • already held data engineering knowledge
  • already held data ethics knowledge
  • already held data quality assessment knowledge
  • already held define data quality criteria skill
  • already held establish data processes skill
  • already held execute analytical mathematical calculations skill
  • already held handle data samples skill
  • already held implement data quality processes skill
  • already held information structure knowledge
  • already held manage data skill
  • already held normalise data skill
  • already held perform data cleansing skill
  • already held query languages knowledge
  • already held resource description framework query language knowledge
  • already held statistics knowledge
  • already held use data processing techniques skill
  • already held visual presentation techniques 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 database knowledge
  • already held healthcare analytics knowledge
  • already held report analysis results skill
The 2 learning areas not shown above
Skill to acquire Tier
07 generic programmes and qualifications 2 supplementary
  • optional, not held multidisciplinary research optional
  • optional, not held research design optional
08 communication, collaboration and creativity 1 supplementary
  • optional, not held deliver visual presentation of data optional
22 supplementary skills, helpful but not required
Skill to acquire Tier
  • optional, not held Hadoop optional
  • optional, not held cloud technologies optional
  • optional, not held create data models optional
  • optional, not held data storage optional
  • optional, not held gather data for forensic purposes optional
  • optional, not held information architecture optional
  • optional, not held manage cloud data and storage optional
  • optional, not held manage data collection systems optional
  • optional, not held online analytical processing optional
  • optional, not held statistical modeling techniques optional
  • optional, not held deliver visual presentation of data optional
  • optional, not held game theory optional
  • optional, not held image recognition optional
  • optional, not held make data-driven decisions optional
  • optional, not held manage quantitative data optional
  • optional, not held marketing analytics optional
  • optional, not held multidisciplinary research optional
  • optional, not held research design optional
  • optional, not held social network analysis optional
  • optional, not held store digital data and systems optional
  • optional, not held use spreadsheets software optional
  • optional, not held web analytics optional
14 held skills the data analyst role does not ask for
Skill Type
  • not needed by the target role address problems critically skill
  • not needed by the target role build business relationships skill
  • not needed by the target role business processes knowledge
  • not needed by the target role design database in the cloud skill
  • not needed by the target role design database scheme skill
  • not needed by the target role execute ICT audits skill
  • not needed by the target role manage database skill
  • not needed by the target role manage schedule of tasks skill
  • not needed by the target role manage standards for data exchange skill
  • not needed by the target role perform data analysis skill
  • not needed by the target role perform project management skill
  • not needed by the target role process data skill
  • not needed by the target role train employees skill
  • not needed by the target role utilise regular expressions skill
24 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 business analytics required
  • required, not held data mining required
  • required, not held data models required
  • required, not held documentation types required
  • required, not held information categorisation required
  • required, not held information confidentiality required
  • required, not held information extraction required
  • required, not held unstructured data required
  • required, not held business intelligence required
  • required, not held data science required
  • required, not held data visualisation software required
  • optional, not held Hadoop optional
  • optional, not held cloud technologies optional
  • optional, not held data storage optional
  • optional, not held information architecture optional
  • optional, not held online analytical processing optional
  • optional, not held statistical modeling techniques optional
  • optional, not held game theory optional
  • optional, not held image recognition optional
  • optional, not held marketing analytics optional
  • optional, not held multidisciplinary research optional
  • optional, not held research design optional
  • optional, not held social network analysis optional
  • optional, not held web analytics optional
Index

Other moves recorded from data quality specialist

Full index of moves from data quality specialist

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.