Data engineer to data 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.
77/ 100
1 How much of what a data entry clerk is expected to do is already part of a data engineer’s work. Directional: the figure for the reverse move differs, because moving into a speciality is not the same problem as moving out of one. 2 Every skill the data entry clerk role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A data entry clerk role treats 1 of its required skills as things a data engineer already does. You would walk in with these on day one.
- process data
What stands in the way is 9 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
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.
- 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 · What you may need to learn
The 27 missing skills fall into 6 areas of the ESCO skill hierarchy, numbered in the order worth working in. Areas carrying the most required skills come first, and inside each one the required skills sit above the optional ones. Nothing here is a verdict on you: it is a list of what this particular job asks for that your current one does not.
- still to learn query languages required
- still to learn resource description framework query language required
- still to learn 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
- still to learn perform data cleansing required
- still to learn 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
- still to learn maintain data entry requirements required
- still to learn apply statistical analysis techniques required
- optional, not held manage data collection systems optional
- still to learn apply information security policies required
- still to learn documentation types required
- optional, not held apply organisational techniques optional
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.
- 01 apply information security policies practise this
- 02 documentation types study this
- 03 maintain data entry requirements practise this
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 7 skills that carry over
- 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
- 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
- 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.
- still to learn documentation types required
- still to learn query languages required
- still to learn resource description framework query language required
- still to learn 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
Common questions about this move
Can a data engineer become a data entry clerk?
Yes, and it is a career change move. A data engineer already covers 17% of what a data entry clerk is expected to do: 7 skills carry over, 1 of which the data entry clerk role treats as required.
What skills does a data engineer need to become a data entry clerk?
9 required skills are missing, plus 18 optional ones. They fall into 6 areas of the ESCO skill hierarchy, led by information and communication technologies (icts). The single most important is apply information security policies.
How hard is the move from data engineer to data entry clerk?
Its learning distance is 77 out of 100, which is the career change band. That accounts for both how much is missing and how specialised those skills are.
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.