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

data analysttocomputer vision engineer

A data analyst already meets 43% of what the computer vision engineer role asks for. The move turns on 17 required skills not yet in the profile.

From data analyst
43%
Overlap1
To computer vision engineer
20 Skills carried over
17 Required, not held
66 Difficulty2
Career overlap Partial match

43%

Learning distance Substantial retraining

66/ 100

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

  • apply statistical analysis techniques
  • data engineering
  • data science
  • deliver visual presentation of data
  • establish data processes
  • execute analytical mathematical calculations

What stands in the way is 17 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 computer vision engineer role needs them, and most people applying for one will not have them already. This is the part of a data analyst 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 image recognition information and communication technologies (icts)
  • already held perform data cleansing working with computers
  • already held establish data processes working with computers

All 20 carried skills, including the 15 the computer vision engineer role treats as required.

Table 3

Table 3 · What you would need to learn

The 32 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) 8 required, 5 supplementary
  • required, not held Python (computer programming) required
  • required, not held digital twin technology required
  • required, not held integrated development environment software required
  • required, not held principles of artificial intelligence required
  • required, not held computer programming required
  • required, not held computer simulation required
  • required, not held machine learning required
  • required, not held scientific computing required
  • optional, not held cognitive computing optional
  • optional, not held quantum computing optional
  • optional, not held computer graphics optional
  • optional, not held deep learning optional
  • optional, not held digital systems optional
02 working with computers 6 required, 2 supplementary
  • required, not held develop data processing applications required
  • required, not held develop software prototype required
  • required, not held use software libraries required
  • required, not held utilise computer-aided software engineering tools required
  • required, not held develop computer vision system required
  • required, not held perform dimensionality reduction required
  • optional, not held debug software optional
  • optional, not held use markup languages optional
03 information skills 1 required, 3 supplementary
  • required, not held conduct literature research required
  • optional, not held conduct qualitative research optional
  • optional, not held conduct quantitative research optional
  • optional, not held conduct scholarly research optional
04 arts and humanities 1 required, 1 supplementary
  • required, not held digital image processing required
  • optional, not held image formation optional
05 management skills 1 required
  • required, not held define technical requirements required
06 engineering, manufacturing and construction 2 supplementary
  • optional, not held signal processing optional
  • optional, not held state estimation optional

2 further areas in the appendix

Table 4

Table 4 · Where to start

The 3 entries a computer vision engineer 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 deliver visual presentation of data skill
  • already held establish data processes skill
  • already held execute analytical mathematical calculations skill
  • already held handle data samples skill
  • already held image recognition knowledge
  • already held implement data quality processes skill
  • already held interpret current data skill
  • already held manage data collection systems skill
  • already held normalise data skill
  • already held perform data cleansing skill
  • already held report analysis results skill
  • already held statistics knowledge
  • already held create data models skill
  • already held define data quality criteria skill
  • already held perform data mining skill
  • already held query languages knowledge
  • already held resource description framework query language knowledge
The 2 learning areas not shown above
Skill to acquire Tier
07 communication, collaboration and creativity 1 supplementary
  • optional, not held design user interface optional
08 natural sciences, mathematics and statistics 1 supplementary
  • optional, not held mathematical modelling optional
15 supplementary skills, helpful but not required
Skill to acquire Tier
  • optional, not held cognitive computing optional
  • optional, not held debug software optional
  • optional, not held design user interface optional
  • optional, not held quantum computing optional
  • optional, not held signal processing optional
  • optional, not held use markup languages optional
  • optional, not held computer graphics optional
  • optional, not held conduct qualitative research optional
  • optional, not held conduct quantitative research optional
  • optional, not held conduct scholarly research optional
  • optional, not held deep learning optional
  • optional, not held digital systems optional
  • optional, not held image formation optional
  • optional, not held mathematical modelling optional
  • optional, not held state estimation optional
47 held skills the computer vision engineer role does not ask for
Skill Type
  • not needed by the target role Hadoop knowledge
  • 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 analyse big data skill
  • not needed by the target role business analytics knowledge
  • not needed by the target role business intelligence knowledge
  • not needed by the target role cloud technologies knowledge
  • not needed by the target role collect ICT data skill
  • not needed by the target role data ethics knowledge
  • not needed by the target role data mining knowledge
  • not needed by the target role data models knowledge
  • not needed by the target role data quality assessment knowledge
  • not needed by the target role data storage knowledge
  • not needed by the target role data visualisation software knowledge
  • not needed by the target role database knowledge
  • not needed by the target role digital data processing skill
  • not needed by the target role documentation types knowledge
  • not needed by the target role game theory knowledge
  • not needed by the target role gather data for forensic purposes skill
  • not needed by the target role healthcare analytics knowledge
  • not needed by the target role information architecture knowledge
  • not needed by the target role information categorisation knowledge
  • not needed by the target role information confidentiality knowledge
  • not needed by the target role information extraction knowledge
  • not needed by the target role information structure knowledge
  • not needed by the target role integrate ICT data skill
  • not needed by the target role make data-driven decisions skill
  • not needed by the target role manage cloud data and storage skill
  • not needed by the target role manage data skill
  • not needed by the target role manage quantitative data skill
  • not needed by the target role marketing analytics knowledge
  • not needed by the target role multidisciplinary research knowledge
  • not needed by the target role online analytical processing knowledge
  • not needed by the target role research design knowledge
  • not needed by the target role social network analysis knowledge
  • not needed by the target role statistical modeling techniques knowledge

7 further entries not listed here

18 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 Python (computer programming) required
  • required, not held digital twin technology required
  • required, not held integrated development environment software required
  • required, not held principles of artificial intelligence required
  • required, not held computer programming required
  • required, not held computer simulation required
  • required, not held digital image processing required
  • required, not held machine learning required
  • required, not held scientific computing required
  • optional, not held cognitive computing optional
  • optional, not held quantum computing optional
  • optional, not held signal processing optional
  • optional, not held computer graphics optional
  • optional, not held deep learning optional
  • optional, not held digital systems optional
  • optional, not held image formation optional
  • optional, not held mathematical modelling optional
  • optional, not held state estimation optional
Index

Other moves recorded from data analyst

Full index of moves from data analyst

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.