data analysttodata entry clerk
A data analyst already meets 63% of what the data entry clerk role asks for. The move turns on 4 required skills not yet in the profile.
This move: 37.7 of 100 · moderate
1 Share of the data entry clerk role’s weighted skill requirement already met by the data analyst 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 22 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 analyst background worth leading with.
- already held documentation types social sciences, journalism and information
- 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 manage data collection systems information skills
All 22 carried skills, including the 6 the data entry clerk role treats as required.
Table 3 · What you would need to learn
The 12 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 process data required
- required, not held use word processing software required
- optional, not held implement data warehousing techniques optional
- optional, not held manage ICT data classification optional
- optional, not held use an application-specific interface optional
- optional, not held manage digital documents optional
- required, not held apply information security policies 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 apply information security policies skill · sector specific
- 02 maintain data entry requirements skill · sector specific
- 03 process data 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 22 skills that carry over
- already held apply statistical analysis techniques skill
- already held database knowledge
- already held documentation types knowledge
- already held perform data cleansing 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
- already held data models knowledge
- already held data storage knowledge
- already held establish data processes skill
- already held implement data quality processes skill
- already held information confidentiality knowledge
- already held manage data skill
- already held manage data collection systems skill
- already held normalise data skill
- already held use databases skill
- already held use spreadsheets software skill
8 supplementary skills, helpful but not required
- optional, not held ABBYY FineReader optional
- optional, not held OmniPage optional
- optional, not held implement data warehousing techniques optional
- optional, not held manage ICT data classification optional
- optional, not held use an application-specific interface optional
- optional, not held apply organisational techniques optional
- optional, not held manage digital documents optional
- optional, not held optical character recognition software optional
45 held skills the data entry clerk role does not ask for
- not needed by the target role Hadoop knowledge
- not needed by the target role analyse big data skill
- not needed by the target role business analytics knowledge
- not needed by the target role business intelligence knowledge
- not needed by the target role cloud technologies knowledge
- not needed by the target role collect ICT data skill
- not needed by the target role create data models 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 data visualisation software knowledge
- not needed by the target role define data quality criteria skill
- not needed by the target role deliver visual presentation of data skill
- not needed by the target role digital data processing skill
- not needed by the target role execute analytical mathematical calculations skill
- not needed by the target role game theory knowledge
- not needed by the target role gather data for forensic purposes 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 image recognition knowledge
- 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 structure knowledge
- not needed by the target role integrate ICT data skill
- not needed by the target role interpret current data skill
- not needed by the target role make data-driven decisions skill
- not needed by the target role manage cloud data and storage skill
- not needed by the target role manage quantitative data skill
- not needed by the target role marketing analytics knowledge
- not needed by the target role multidisciplinary research knowledge
- not needed by the target role online analytical processing knowledge
- not needed by the target role perform data mining skill
- not needed by the target role report analysis results skill
- not needed by the target role research design knowledge
- not needed by the target role social network analysis knowledge
- not needed by the target role statistical modeling techniques knowledge
- not needed by the target role statistics knowledge
5 further entries not listed here
3 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- optional, not held ABBYY FineReader optional
- optional, not held OmniPage optional
- optional, not held optical character recognition software optional
Other moves recorded from data analyst
- data quality specialist 67% covered · moderate
- chief data officer 56% covered · moderate
- ICT information and knowledge manager 50% covered · substantial
- data entry supervisor 49% covered · substantial
- data engineer 47% covered · substantial
- data scientist 47% covered · substantial
- computer vision engineer 43% covered · substantial
- big data archive librarian 32% covered · career change
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.