Career Overlap Transition record
RecordMove

Data analyst to data 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.

Fig. 1 · Skill transfer ESCO v1.2.1 · directional
From data analyst
63 % overlap
Strong match
To data entry clerk
22 You already bring
4 Still to learn
34 Skills in the target role2
Learning distance Real move, short list to learn

37.7/ 100

1 How much of what a data entry clerk is expected to do is already part of a data analyst’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 clerk role is recorded as needing, required and optional together. What these numbers mean.

Why

Why this move works

A data entry clerk role treats 6 of its required skills as things a data analyst already does. You would walk in with these on day one.

  • apply statistical analysis techniques
  • database
  • documentation types
  • perform data cleansing
  • query languages
  • resource description framework query language

What stands in the way is 4 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.

Table 2

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.

Skill the target role also needs Area
  • 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

Table 3 · What you may need to learn

The 12 missing skills fall into 5 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.

Skill to pick up Tier
01 information skills 2 required
  • still to learn maintain data entry requirements required
  • still to learn process data required
02 working with computers 1 required, 4 supplementary
  • still to learn 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
03 assisting and caring 1 required
  • still to learn apply information security policies required
04 information and communication technologies (icts) 3 supplementary
  • optional, not held ABBYY FineReader optional
  • optional, not held OmniPage optional
  • optional, not held optical character recognition software optional
05 management skills 1 supplementary
  • optional, not held apply organisational techniques optional
Table 4

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.

Each entry opens a course search for that skill. Career Overlap earns nothing from these links.

Appendix

Appendix · The rest of the record

All 22 skills that carry over
Skill Type
  • 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
Skill to pick up Tier
  • 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
Skill Type
  • 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.

Skill to pick up Tier
  • optional, not held ABBYY FineReader optional
  • optional, not held OmniPage optional
  • optional, not held optical character recognition software optional
Index
FAQ

Common questions about this move

Can a data analyst become a data entry clerk?

Yes, and it is a moderate move. A data analyst already covers 63% of what a data entry clerk is expected to do: 22 skills carry over, 6 of which the data entry clerk role treats as required.

What skills does a data analyst need to become a data entry clerk?

4 required skills are missing, plus 8 optional ones. They fall into 5 areas of the ESCO skill hierarchy, led by information skills. The single most important is apply information security policies.

How hard is the move from data analyst to data entry clerk?

Its learning distance is 37.7 out of 100, which is the moderate band. That accounts for both how much is missing and how specialised those skills are.

Note

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.