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

computer vision engineertodata analyst

A computer vision engineer already meets 36% of what the data analyst role asks for. The move turns on 21 required skills not yet in the profile.

From computer vision engineer
36%
Overlap1
To data analyst
20 Skills carried over
21 Required, not held
74.3 Difficulty2
Career overlap Distant match

36%

Learning distance Substantial retraining

74.3/ 100

1 Share of the data analyst role’s weighted skill requirement already met by the computer vision engineer 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 15 of its required skills as things a computer vision engineer already does. These are the ones it depends on most.

  • apply statistical analysis techniques
  • data engineering
  • data science
  • define data quality criteria
  • establish data processes
  • execute analytical mathematical calculations

What stands in the way is 21 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 20 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 computer vision engineer background worth leading with.

Skill the target role also needs Area
  • already held handle data samples information skills
  • already held normalise data working with computers
  • already held implement data quality processes working with computers
  • already held perform data cleansing working with computers
  • already held image recognition information and communication technologies (icts)
  • already held establish data processes working with computers

All 20 carried skills, including the 15 the data analyst role treats as required.

Table 3

Table 3 · What you would need to learn

The 47 missing skills fall into 9 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, 13 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 information structure required
  • required, not held unstructured data required
  • required, not held data visualisation software required
  • optional, not held Hadoop optional
  • optional, not held LDAP optional
  • optional, not held LINQ optional
  • optional, not held MDX optional
  • optional, not held N1QL optional
  • optional, not held SPARQL optional
  • optional, not held XQuery 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 database optional
  • optional, not held web analytics optional
02 working with computers 4 required, 3 supplementary
  • required, not held digital data processing required
  • required, not held integrate ICT data required
  • required, not held use data processing techniques 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
03 information skills 3 required, 3 supplementary
  • required, not held manage data required
  • required, not held analyse big data required
  • required, not held collect ICT data required
  • optional, not held gather data for forensic purposes optional
  • optional, not held manage cloud data and storage optional
  • optional, not held make data-driven decisions optional
04 business, administration and law 2 required, 1 supplementary
  • required, not held data quality assessment required
  • required, not held business intelligence required
  • optional, not held marketing analytics optional
05 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
06 arts and humanities 2 required
  • required, not held visual presentation techniques required
  • required, not held data ethics required

3 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 20 skills that carry over
Skill Type
  • already held apply statistical analysis techniques skill
  • already held data engineering knowledge
  • already held data science 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 interpret current data skill
  • already held normalise data skill
  • already held perform data cleansing skill
  • already held perform data mining skill
  • already held query languages knowledge
  • already held resource description framework query language knowledge
  • already held statistics knowledge
  • already held create data models skill
  • already held deliver visual presentation of data skill
  • already held image recognition knowledge
  • already held manage data collection systems skill
  • already held report analysis results skill
The 3 learning areas not shown above
Skill to acquire Tier
07 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
08 generic programmes and qualifications 2 supplementary
  • optional, not held multidisciplinary research optional
  • optional, not held research design optional
09 health and welfare 1 supplementary
  • optional, not held healthcare analytics optional
26 supplementary skills, helpful but not required
Skill to acquire Tier
  • optional, not held Hadoop optional
  • optional, not held LDAP optional
  • optional, not held LINQ optional
  • optional, not held MDX optional
  • optional, not held N1QL optional
  • optional, not held SPARQL optional
  • optional, not held XQuery optional
  • optional, not held cloud technologies optional
  • optional, not held data storage optional
  • optional, not held gather data for forensic purposes optional
  • optional, not held healthcare analytics optional
  • optional, not held information architecture optional
  • optional, not held manage cloud data and storage optional
  • optional, not held online analytical processing optional
  • optional, not held statistical modeling techniques optional
  • optional, not held database optional
  • optional, not held game theory 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
32 held skills the data analyst role does not ask for
Skill Type
  • not needed by the target role Python (computer programming) knowledge
  • not needed by the target role cognitive computing knowledge
  • not needed by the target role computer graphics knowledge
  • not needed by the target role computer programming knowledge
  • not needed by the target role computer simulation knowledge
  • not needed by the target role conduct literature research 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 scholarly research skill
  • not needed by the target role debug software skill
  • not needed by the target role deep learning knowledge
  • not needed by the target role define technical requirements skill
  • not needed by the target role design user interface skill
  • not needed by the target role develop computer vision system skill
  • not needed by the target role develop data processing applications skill
  • not needed by the target role develop software prototype skill
  • not needed by the target role digital image processing knowledge
  • not needed by the target role digital systems knowledge
  • not needed by the target role digital twin technology knowledge
  • not needed by the target role image formation knowledge
  • not needed by the target role integrated development environment software knowledge
  • not needed by the target role machine learning knowledge
  • not needed by the target role mathematical modelling knowledge
  • not needed by the target role perform dimensionality reduction skill
  • not needed by the target role principles of artificial intelligence knowledge
  • not needed by the target role quantum computing knowledge
  • not needed by the target role scientific computing knowledge
  • not needed by the target role signal processing knowledge
  • not needed by the target role state estimation knowledge
  • not needed by the target role use markup languages skill
  • not needed by the target role use software libraries skill
  • not needed by the target role utilise computer-aided software engineering tools skill
34 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 data quality assessment 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 information structure required
  • required, not held unstructured data required
  • required, not held visual presentation techniques required
  • required, not held business intelligence required
  • required, not held data ethics required
  • required, not held data visualisation software required
  • optional, not held Hadoop optional
  • optional, not held LDAP optional
  • optional, not held LINQ optional
  • optional, not held MDX optional
  • optional, not held N1QL optional
  • optional, not held SPARQL optional
  • optional, not held XQuery optional
  • optional, not held cloud technologies optional
  • optional, not held data storage optional
  • optional, not held healthcare analytics optional
  • optional, not held information architecture optional
  • optional, not held online analytical processing optional
  • optional, not held statistical modeling techniques optional
  • optional, not held database optional
  • optional, not held game theory 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 computer vision engineer

Full index of moves from computer vision engineer

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.