ICT research manager to data entry supervisor
An ICT research manager already meets 29% of what the data entry supervisor role asks for. The move turns on 13 required skills not yet in the profile.
72.1/ 100
1 How much of what a data entry supervisor is expected to do is already part of an ICT research manager’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 supervisor role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A data entry supervisor role treats 8 of its required skills as things an ICT research manager already does. You would walk in with these on day one.
- LDAP
- LINQ
- MDX
- N1QL
- SPARQL
- XQuery
What stands in the way is 13 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 9 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 an ICT research manager background worth leading with.
- already held LDAP information and communication technologies (icts)
- already held MDX information and communication technologies (icts)
- already held XQuery information and communication technologies (icts)
- already held query languages information and communication technologies (icts)
- already held LINQ information and communication technologies (icts)
- already held N1QL information and communication technologies (icts)
All 9 carried skills, including the 8 the data entry supervisor role treats as required.
Table 3 · What you may need to learn
The 33 missing skills fall into 8 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 introduce new employees required
- still to learn manage schedule of tasks required
- still to learn motivate employees required
- still to learn 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
- still to learn estimate duration of work required
- still to learn gather feedback from employees required
- still to learn supervise data entry required
- optional, not held maintain data entry requirements optional
- optional, not held manage data optional
- optional, not held manage data collection systems optional
- still to learn information confidentiality required
- still to learn database 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
- still to learn manage employee complaints required
- optional, not held coach employees optional
- still to learn apply information security policies required
- still to learn 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 practise this
- 02 company policies study this
- 03 documentation types study this
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 9 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 query languages knowledge
- already held resource description framework query language knowledge
- already held process data skill
The 2 learning areas not shown above
- still to learn documentation types required
- optional, not held establish data processes optional
- optional, not held implement data warehousing techniques optional
- optional, not held manage ICT data classification optional
- optional, not held normalise data optional
- optional, not held implement data quality processes optional
- optional, not held perform data cleansing optional
20 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 establish data processes 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 optional
- optional, not held manage data collection systems optional
- optional, not held normalise data 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 implement data quality processes optional
- optional, not held optical character recognition software optional
- optional, not held perform data cleansing optional
- optional, not held recruit employees optional
40 held skills the data entry supervisor role does not ask for
- not needed by the target role Agile project management knowledge
- not needed by the target role ICT market knowledge
- not needed by the target role ICT power consumption knowledge
- not needed by the target role ICT project management knowledge
- not needed by the target role ICT project management methodologies knowledge
- not needed by the target role Process-based management knowledge
- not needed by the target role apply reverse engineering skill
- not needed by the target role apply statistical analysis techniques skill
- not needed by the target role apply system organisational policies skill
- not needed by the target role apply systemic design thinking skill
- not needed by the target role build business relationships skill
- 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 research interview skill
- not needed by the target role conduct scholarly research skill
- not needed by the target role coordinate technological activities skill
- not needed by the target role create solutions to problems skill
- not needed by the target role crowdsourcing strategy knowledge
- not needed by the target role emergent technologies knowledge
- not needed by the target role execute ICT user research activities skill
- not needed by the target role execute analytical mathematical calculations skill
- not needed by the target role identify technological needs skill
- not needed by the target role information extraction knowledge
- not needed by the target role innovate in ICT skill
- not needed by the target role innovation processes knowledge
- not needed by the target role insourcing strategy knowledge
- not needed by the target role lean project management knowledge
- not needed by the target role manage ICT project skill
- not needed by the target role manage staff skill
- not needed by the target role monitor ICT research skill
- not needed by the target role monitor technology trends skill
- not needed by the target role organisational policies knowledge
- not needed by the target role outsourcing strategy knowledge
- not needed by the target role perform data mining skill
- not needed by the target role plan research process skill
- not needed by the target role provide user documentation skill
- not needed by the target role report analysis results skill
- not needed by the target role scientific research methodology knowledge
- not needed by the target role write research proposals skill
9 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 company policies required
- still to learn documentation types required
- still to learn information confidentiality required
- still to learn database 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
Common questions about this move
Can an ICT research manager become a data entry supervisor?
Yes, and it is a substantial move. An ICT research manager already covers 29% of what a data entry supervisor is expected to do: 9 skills carry over, 8 of which the data entry supervisor role treats as required.
What skills does an ICT research manager need to become a data entry supervisor?
13 required skills are missing, plus 20 optional ones. They fall into 8 areas of the ESCO skill hierarchy, led by management skills. The single most important is apply information security policies.
How hard is the move from ICT research manager to data entry supervisor?
Its learning distance is 72.1 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.