Table 1Transition record

computer vision engineertodata entry clerk

A computer vision engineer already meets 29% of what the data entry clerk role asks for. The move turns on 6 required skills not yet in the profile.

From computer vision engineer

29%

Overlap1

To data entry clerk

8 Skills carried over

6 Required, not held

67.1 Difficulty2

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 67.1

This move: 67.1 of 100 · substantial

1 Share of the data entry clerk 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 8 skills that carry over, these are the ones fewest other occupations ask for. A data entry clerk 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 normalise data working with computers
already held implement data quality processes working with computers
already held perform data cleansing working with computers
already held establish data processes working with computers
already held manage data collection systems information skills
already held query languages information and communication technologies (icts)

All 8 carried skills, including the 4 the data entry clerk role treats as required.

Table 3

Table 3 · What you would need to learn

The 26 missing skills fall into 6 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 skills 2 required, 1 supplementary

required, not held maintain data entry requirements required
required, not held process data required

optional, not held manage data optional

02 information and communication technologies (icts) 1 required, 12 supplementary

required, not held database required

optional, not held ABBYY FineReader optional
optional, not held LDAP optional
optional, not held LINQ optional
optional, not held MDX optional
optional, not held N1QL optional
optional, not held OmniPage optional
optional, not held SPARQL optional
optional, not held XQuery optional
optional, not held data models optional
optional, not held data storage optional
optional, not held information confidentiality optional
optional, not held optical character recognition software optional

03 working with computers 1 required, 6 supplementary

required, not held use word processing software required

optional, not held implement data warehousing techniques optional
optional, not held manage ICT data classification optional
optional, not held use an application-specific interface optional
optional, not held manage digital documents optional
optional, not held use databases optional
optional, not held use spreadsheets software optional

04 assisting and caring 1 required

required, not held apply information security policies required

05 social sciences, journalism and information 1 required

required, not held documentation types required

06 management skills 1 supplementary

optional, not held apply organisational techniques optional

Table 4

Table 4 · Where to start

The 3 entries a data entry clerk 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 8 skills that carry over

Skill Type

already held apply statistical analysis techniques skill
already held perform data cleansing skill
already held query languages knowledge
already held resource description framework query language knowledge
already held establish data processes skill
already held implement data quality processes skill
already held manage data collection systems skill
already held normalise data skill

20 supplementary skills, helpful but not required

Skill to acquire Tier

optional, not held ABBYY FineReader optional
optional, not held LDAP optional
optional, not held LINQ optional
optional, not held MDX optional
optional, not held N1QL optional
optional, not held OmniPage optional
optional, not held SPARQL optional
optional, not held XQuery optional
optional, not held data models optional
optional, not held data storage optional
optional, not held implement data warehousing techniques optional
optional, not held information confidentiality optional
optional, not held manage ICT data classification optional
optional, not held manage data optional
optional, not held use an application-specific interface optional
optional, not held apply organisational techniques optional
optional, not held manage digital documents optional
optional, not held optical character recognition software optional
optional, not held use databases optional
optional, not held use spreadsheets software optional

44 held skills the data entry clerk 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 create data models skill
not needed by the target role data engineering knowledge
not needed by the target role data science knowledge
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 data quality criteria skill
not needed by the target role define technical requirements skill
not needed by the target role deliver visual presentation of data 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 execute analytical mathematical calculations skill
not needed by the target role handle data samples skill
not needed by the target role image formation knowledge
not needed by the target role image recognition knowledge
not needed by the target role integrated development environment software knowledge
not needed by the target role interpret current data skill
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 data mining skill
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 report analysis results skill
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

4 further entries not listed here

14 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 documentation types required
required, not held database required
optional, not held ABBYY FineReader optional
optional, not held LDAP optional
optional, not held LINQ optional
optional, not held MDX optional
optional, not held N1QL optional
optional, not held OmniPage optional
optional, not held SPARQL optional
optional, not held XQuery optional
optional, not held data models optional
optional, not held data storage optional
optional, not held information confidentiality optional
optional, not held optical character recognition software 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.