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

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 74.3

This move: 74.3 of 100 · substantial

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.

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.