Data entry clerk to data quality specialist
A data entry clerk already meets 41% of what the data quality specialist role asks for. The move turns on 11 required skills not yet in the profile.
62.4/ 100
1 How much of what a data quality specialist is expected to do is already part of a data entry clerk’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 quality specialist role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A data quality specialist role treats 9 of its required skills as things a data entry clerk already does. You would walk in with these on day one.
- database
- establish data processes
- implement data quality processes
- manage data
- normalise data
- perform data cleansing
What stands in the way is 11 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 15 skills that carry over, these are the ones fewest other occupations ask for. A data quality specialist role needs them, and most people applying for one will not have them already. This is the part of a data entry clerk background worth leading with.
- 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 database information and communication technologies (icts)
- already held LDAP information and communication technologies (icts)
All 15 carried skills, including the 9 the data quality specialist role treats as required.
Table 3 · What you may need to learn
The 25 missing skills fall into 9 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 handle data samples required
- still to learn manage database required
- still to learn report analysis results required
- optional, not held execute ICT audits optional
- optional, not held execute analytical mathematical calculations optional
- still to learn design database scheme required
- still to learn address problems critically required
- optional, not held design database in the cloud optional
- optional, not held build business relationships optional
- optional, not held train employees optional
- still to learn define data quality criteria required
- still to learn manage standards for data exchange required
- optional, not held manage schedule of tasks optional
- optional, not held perform project management optional
- still to learn utilise regular expressions required
- still to learn use data processing techniques required
- optional, not held perform data analysis optional
- still to learn data ethics required
- optional, not held visual presentation techniques optional
- still to learn information structure required
- optional, not held data engineering optional
3 further areas in the appendix
Table 4 · Where to start
The 3 entries a data quality specialist role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 utilise regular expressions practise this
- 02 define data quality criteria practise this
- 03 design database scheme 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 15 skills that carry over
- already held database knowledge
- already held establish data processes skill
- already held implement data quality processes skill
- already held manage data skill
- already held normalise data skill
- already held perform data cleansing skill
- already held process data skill
- already held query languages knowledge
- already held resource description framework query language knowledge
- already held LDAP knowledge
- already held LINQ knowledge
- already held MDX knowledge
- already held N1QL knowledge
- already held SPARQL knowledge
- already held XQuery knowledge
The 3 learning areas not shown above
- optional, not held data quality assessment optional
- optional, not held business processes optional
- optional, not held healthcare analytics optional
- optional, not held statistics optional
14 supplementary skills, helpful but not required
- optional, not held data quality assessment optional
- optional, not held design database in the cloud optional
- optional, not held execute ICT audits optional
- optional, not held healthcare analytics optional
- optional, not held visual presentation techniques optional
- optional, not held build business relationships optional
- optional, not held business processes optional
- optional, not held data engineering optional
- optional, not held execute analytical mathematical calculations optional
- optional, not held manage schedule of tasks optional
- optional, not held perform data analysis optional
- optional, not held perform project management optional
- optional, not held statistics optional
- optional, not held train employees optional
19 held skills the data quality specialist role does not ask for
- not needed by the target role ABBYY FineReader knowledge
- not needed by the target role OmniPage knowledge
- not needed by the target role apply information security policies skill
- not needed by the target role apply organisational techniques skill
- not needed by the target role apply statistical analysis techniques skill
- not needed by the target role data models knowledge
- not needed by the target role data storage knowledge
- not needed by the target role documentation types knowledge
- not needed by the target role implement data warehousing techniques skill
- not needed by the target role information confidentiality knowledge
- not needed by the target role maintain data entry requirements skill
- not needed by the target role manage ICT data classification skill
- not needed by the target role manage data collection systems skill
- not needed by the target role manage digital documents skill
- not needed by the target role optical character recognition software knowledge
- not needed by the target role use an application-specific interface skill
- not needed by the target role use databases skill
- not needed by the target role use spreadsheets software skill
- not needed by the target role use word processing software skill
8 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 information structure required
- still to learn data ethics required
- optional, not held data quality assessment optional
- optional, not held healthcare analytics optional
- optional, not held visual presentation techniques optional
- optional, not held business processes optional
- optional, not held data engineering optional
- optional, not held statistics optional
Common questions about this move
Can a data entry clerk become a data quality specialist?
Yes, and it is a substantial move. A data entry clerk already covers 41% of what a data quality specialist is expected to do: 15 skills carry over, 9 of which the data quality specialist role treats as required.
What skills does a data entry clerk need to become a data quality specialist?
11 required skills are missing, plus 14 optional ones. They fall into 9 areas of the ESCO skill hierarchy, led by information skills. The single most important is utilise regular expressions.
How hard is the move from data entry clerk to data quality specialist?
Its learning distance is 62.4 out of 100, which is the substantial 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.