Table 1Transition record

data engineertodata entry clerk

A data engineer already meets 17% of what the data entry clerk role asks for. The move turns on 9 required skills not yet in the profile.

From data engineer

17%

Overlap1

To data entry clerk

7 Skills carried over

9 Required, not held

77 Difficulty2

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 77

This move: 77 of 100 · career change

1 Share of the data entry clerk role’s weighted skill requirement already met by the data 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 7 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 data engineer background worth leading with.

Skill the target role also needs Area

already held implement data warehousing techniques working with computers
already held establish data processes working with computers
already held data models information and communication technologies (icts)
already held use databases working with computers
already held data storage information and communication technologies (icts)
already held manage data information skills

All 7 carried skills, including the 1 the data entry clerk role treats as required.

Table 3

Table 3 · What you would need to learn

The 27 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 and communication technologies (icts) 3 required, 10 supplementary

required, not held query languages required
required, not held resource description framework query language 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 information confidentiality optional
optional, not held optical character recognition software optional

02 working with computers 2 required, 6 supplementary

required, not held perform data cleansing required
required, not held use word processing software required

optional, not held manage ICT data classification optional
optional, not held normalise data optional
optional, not held use an application-specific interface optional
optional, not held implement data quality processes optional
optional, not held manage digital documents optional
optional, not held use spreadsheets software optional

03 information skills 2 required, 1 supplementary

required, not held maintain data entry requirements required
required, not held apply statistical analysis techniques required

optional, not held manage data collection systems 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 7 skills that carry over

Skill Type

already held process data skill
already held data models knowledge
already held data storage knowledge
already held establish data processes skill
already held implement data warehousing techniques skill
already held manage data skill
already held use databases skill

18 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 information confidentiality optional
optional, not held manage ICT data classification optional
optional, not held manage data collection systems optional
optional, not held normalise data optional
optional, not held use an application-specific interface optional
optional, not held apply organisational techniques optional
optional, not held implement data quality processes optional
optional, not held manage digital documents optional
optional, not held optical character recognition software optional
optional, not held use spreadsheets software optional

21 held skills the data entry clerk role does not ask for

Skill Type

not needed by the target role SAS Data Management knowledge
not needed by the target role Teradata Database knowledge
not needed by the target role analyse pipeline database information skill
not needed by the target role cloud technologies knowledge
not needed by the target role computer science knowledge
not needed by the target role create data models skill
not needed by the target role create data sets skill
not needed by the target role data analytics knowledge
not needed by the target role data warehouse knowledge
not needed by the target role database management systems knowledge
not needed by the target role design database in the cloud skill
not needed by the target role develop data processing applications skill
not needed by the target role digital data processing skill
not needed by the target role manage ICT data architecture skill
not needed by the target role manage quantitative data skill
not needed by the target role manage research data skill
not needed by the target role perform dimensionality reduction skill
not needed by the target role statistics knowledge
not needed by the target role store digital data and systems skill
not needed by the target role unstructured data knowledge
not needed by the target role use data processing techniques skill

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 query languages required
required, not held resource description framework query language 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 information confidentiality optional
optional, not held optical character recognition software optional

Index

Other moves recorded from data engineer

Full index of moves from data 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.