data quality specialisttodata entry supervisor
A data quality specialist already meets 43% of what the data entry supervisor role asks for. The move turns on 11 required skills not yet in the profile.
43%
61.3/ 100
1 Share of the data entry supervisor role’s weighted skill requirement already met by the data quality specialist 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.
Why this move works
A data entry supervisor role treats 10 of its required skills as things a data quality specialist already does. These are the ones it depends on most.
- LDAP
- LINQ
- MDX
- N1QL
- SPARQL
- XQuery
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 16 skills that carry over, these are the ones fewest other occupations ask for. A data entry supervisor role needs them, and most people applying for one will not have them already. This is the part of a data quality specialist 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 16 carried skills, including the 10 the data entry supervisor role treats as required.
Table 3 · What you would need to learn
The 26 missing skills fall into 8 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.
- required, not held introduce new employees required
- required, not held motivate employees required
- required, not held supervise work required
- optional, not held apply organisational techniques optional
- optional, not held develop working procedures optional
- optional, not held discharge employees optional
- optional, not held evaluate employees optional
- optional, not held recruit employees optional
- required, not held estimate duration of work required
- required, not held gather feedback from employees required
- required, not held supervise data entry required
- optional, not held maintain data entry requirements optional
- optional, not held manage data collection systems optional
- required, not held information confidentiality required
- optional, not held ABBYY FineReader optional
- optional, not held OmniPage optional
- optional, not held data models optional
- optional, not held data storage optional
- optional, not held optical character recognition software optional
- required, not held manage employee complaints required
- optional, not held coach employees optional
- required, not held apply information security policies required
- required, not held company policies required
2 further areas in the appendix
Table 4 · Where to start
The 3 entries a data entry supervisor role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 apply information security policies skill · sector specific
- 02 company policies knowledge · sector specific
- 03 documentation types knowledge · sector specific
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 16 skills that carry over
- already held LDAP knowledge
- already held LINQ knowledge
- already held MDX knowledge
- already held N1QL knowledge
- already held SPARQL knowledge
- already held XQuery knowledge
- already held database knowledge
- already held manage schedule of tasks 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 skill
- already held normalise data skill
- already held perform data cleansing skill
- already held process data skill
The 2 learning areas not shown above
- required, not held documentation types required
- optional, not held implement data warehousing techniques optional
- optional, not held manage ICT data classification optional
15 supplementary skills, helpful but not required
- optional, not held ABBYY FineReader optional
- optional, not held OmniPage optional
- optional, not held data models optional
- optional, not held data storage optional
- optional, not held implement data warehousing techniques optional
- optional, not held maintain data entry requirements optional
- optional, not held manage ICT data classification optional
- optional, not held manage data collection systems optional
- optional, not held apply organisational techniques optional
- optional, not held coach employees optional
- optional, not held develop working procedures optional
- optional, not held discharge employees optional
- optional, not held evaluate employees optional
- optional, not held optical character recognition software optional
- optional, not held recruit employees optional
24 held skills the data entry supervisor role does not ask for
- not needed by the target role address problems critically skill
- not needed by the target role build business relationships skill
- not needed by the target role business processes knowledge
- not needed by the target role data engineering knowledge
- not needed by the target role data ethics knowledge
- not needed by the target role data quality assessment knowledge
- not needed by the target role define data quality criteria skill
- not needed by the target role design database in the cloud skill
- not needed by the target role design database scheme skill
- not needed by the target role execute ICT audits skill
- 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 healthcare analytics knowledge
- not needed by the target role information structure knowledge
- not needed by the target role manage database skill
- not needed by the target role manage standards for data exchange skill
- not needed by the target role perform data analysis skill
- not needed by the target role perform project management skill
- not needed by the target role report analysis results skill
- not needed by the target role statistics knowledge
- not needed by the target role train employees skill
- not needed by the target role use data processing techniques skill
- not needed by the target role utilise regular expressions skill
- not needed by the target role visual presentation techniques knowledge
8 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- required, not held company policies required
- required, not held documentation types required
- required, not held information confidentiality required
- optional, not held ABBYY FineReader optional
- optional, not held OmniPage optional
- optional, not held data models optional
- optional, not held data storage optional
- optional, not held optical character recognition software optional
Other moves recorded from data quality specialist
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.