chief data officertodata entry clerk
A chief data officer already meets 45% of what the data entry clerk role asks for. The move turns on 6 required skills not yet in the profile.
This move: 53.5 of 100 · moderate
1 Share of the data entry clerk role’s weighted skill requirement already met by the chief data officer 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 · What you already bring
Of the 16 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 chief data officer background worth leading with.
- already held manage ICT data classification working with computers
- already held database information and communication technologies (icts)
- already held data models information and communication technologies (icts)
- already held apply information security policies assisting and caring
- already held LDAP information and communication technologies (icts)
- already held MDX information and communication technologies (icts)
All 16 carried skills, including the 4 the data entry clerk role treats as required.
Table 3 · What you would need to learn
The 18 missing skills fall into 5 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 maintain data entry requirements required
- required, not held apply statistical analysis techniques required
- required, not held process data required
- optional, not held manage data collection systems optional
- required, not held perform data cleansing required
- required, not held use word processing software required
- optional, not held establish data processes optional
- optional, not held implement data warehousing techniques 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
- required, not held documentation types required
- optional, not held ABBYY FineReader optional
- optional, not held OmniPage optional
- optional, not held optical character recognition software optional
- 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 documentation types knowledge · sector specific
- 02 maintain data entry requirements skill · sector specific
- 03 apply statistical analysis techniques skill · cross sector
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 apply information security policies skill
- already held database knowledge
- 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
- already held data models knowledge
- already held data storage knowledge
- already held information confidentiality knowledge
- already held manage ICT data classification skill
- already held manage data skill
- already held use databases skill
12 supplementary skills, helpful but not required
- optional, not held ABBYY FineReader optional
- optional, not held OmniPage optional
- optional, not held establish data processes optional
- optional, not held implement data warehousing techniques 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
45 held skills the data entry clerk role does not ask for
- not needed by the target role CA Datacom/DB knowledge
- not needed by the target role DB2 knowledge
- not needed by the target role Filemaker (database management systems) knowledge
- not needed by the target role IBM Informix knowledge
- not needed by the target role Microsoft Access knowledge
- not needed by the target role MySQL knowledge
- not needed by the target role ObjectStore knowledge
- not needed by the target role OpenEdge Database knowledge
- not needed by the target role Oracle Relational Database knowledge
- not needed by the target role PostgreSQL knowledge
- not needed by the target role SQL Server knowledge
- not needed by the target role Teradata Database knowledge
- not needed by the target role apply change management skill
- not needed by the target role business intelligence knowledge
- not needed by the target role business processes knowledge
- not needed by the target role cloud technologies knowledge
- not needed by the target role coordinate technological activities skill
- 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 mining knowledge
- not needed by the target role data quality assessment knowledge
- not needed by the target role data science knowledge
- not needed by the target role database development tools knowledge
- not needed by the target role database management systems knowledge
- not needed by the target role decision support systems knowledge
- not needed by the target role define data quality criteria skill
- not needed by the target role define technology strategy skill
- not needed by the target role deliver visual presentation of data skill
- not needed by the target role develop information security strategy skill
- not needed by the target role image recognition knowledge
- not needed by the target role implement ICT risk management skill
- not needed by the target role information architecture knowledge
- not needed by the target role information categorisation knowledge
- not needed by the target role information extraction knowledge
- not needed by the target role information security strategy knowledge
- not needed by the target role information structure knowledge
- not needed by the target role integrate ICT data skill
- not needed by the target role make data-driven decisions skill
- not needed by the target role manage ICT data architecture skill
- not needed by the target role manage business knowledge skill
5 further entries not listed here
4 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 documentation types required
- optional, not held ABBYY FineReader optional
- optional, not held OmniPage optional
- optional, not held optical character recognition software optional
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.