Career Overlap Transition record Edition 1 · ESCO v1.2.1
Table 1Transition record

data entry clerktodata analyst

A data entry clerk already meets 33% of what the data analyst role asks for. The move turns on 24 required skills not yet in the profile.

From data entry clerk
33%
Overlap1
To data analyst
22 Skills carried over
24 Required, not held
75.8 Difficulty2
Career overlap Distant match

33%

Learning distance A rebuild

75.8/ 100

1 Share of the data analyst role’s weighted skill requirement already met by the data entry clerk 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

Why this move works

A data analyst role treats 12 of its required skills as things a data entry clerk already does. These are the ones it depends on most.

  • apply statistical analysis techniques
  • data models
  • documentation types
  • establish data processes
  • implement data quality processes
  • information confidentiality

What stands in the way is 24 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 analyst role needs them, and most people applying for one will not have them already. This is the part of a data entry clerk 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 12 the data analyst role treats as required.

Table 3

Table 3 · What you would need to learn

The 45 missing skills fall into 11 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.

Skill to acquire Tier
01 information and communication technologies (icts) 7 required, 6 supplementary
  • required, not held data mining required
  • required, not held information extraction required
  • required, not held information structure required
  • required, not held unstructured data required
  • required, not held data engineering required
  • required, not held data science required
  • required, not held data visualisation software required
  • optional, not held Hadoop optional
  • optional, not held cloud technologies optional
  • optional, not held information architecture optional
  • optional, not held online analytical processing optional
  • optional, not held image recognition optional
  • optional, not held web analytics optional
02 information skills 5 required, 5 supplementary
  • required, not held analyse big data required
  • required, not held collect ICT data required
  • required, not held execute analytical mathematical calculations required
  • required, not held handle data samples required
  • required, not held interpret current data required
  • optional, not held create data models optional
  • optional, not held gather data for forensic purposes optional
  • optional, not held manage cloud data and storage optional
  • optional, not held make data-driven decisions optional
  • optional, not held report analysis results optional
03 working with computers 4 required, 2 supplementary
  • required, not held digital data processing required
  • required, not held integrate ICT data required
  • required, not held perform data mining required
  • required, not held use data processing techniques required
  • optional, not held manage quantitative data optional
  • optional, not held store digital data and systems optional
04 natural sciences, mathematics and statistics 2 required, 2 supplementary
  • required, not held business analytics required
  • required, not held statistics required
  • optional, not held statistical modeling techniques optional
  • optional, not held game theory optional
05 business, administration and law 2 required, 1 supplementary
  • required, not held data quality assessment required
  • required, not held business intelligence required
  • optional, not held marketing analytics optional
06 arts and humanities 2 required
  • required, not held visual presentation techniques required
  • required, not held data ethics required

5 further areas in the appendix

Table 4

Table 4 · Where to start

The 3 entries a data analyst 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 data models knowledge
  • already held documentation types 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 normalise data skill
  • already held perform data cleansing skill
  • already held query languages knowledge
  • already held resource description framework query language knowledge
  • already held use databases skill
  • 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 storage knowledge
  • already held database knowledge
  • already held manage data collection systems skill
  • already held use spreadsheets software skill
The 5 learning areas not shown above
Skill to acquire Tier
07 social sciences, journalism and information 1 required, 1 supplementary
  • required, not held information categorisation required
  • optional, not held social network analysis optional
08 management skills 1 required
  • required, not held define data quality criteria required
09 generic programmes and qualifications 2 supplementary
  • optional, not held multidisciplinary research optional
  • optional, not held research design optional
10 communication, collaboration and creativity 1 supplementary
  • optional, not held deliver visual presentation of data optional
11 health and welfare 1 supplementary
  • optional, not held healthcare analytics optional
21 supplementary skills, helpful but not required
Skill to acquire Tier
  • optional, not held Hadoop optional
  • optional, not held cloud technologies optional
  • optional, not held create data models optional
  • optional, not held gather data for forensic purposes optional
  • optional, not held healthcare analytics optional
  • optional, not held information architecture optional
  • optional, not held manage cloud data and storage optional
  • optional, not held online analytical processing optional
  • optional, not held statistical modeling techniques optional
  • optional, not held deliver visual presentation of data optional
  • optional, not held game theory optional
  • optional, not held image recognition optional
  • optional, not held make data-driven decisions optional
  • optional, not held manage quantitative data optional
  • optional, not held marketing analytics optional
  • optional, not held multidisciplinary research optional
  • optional, not held report analysis results optional
  • optional, not held research design optional
  • optional, not held social network analysis optional
  • optional, not held store digital data and systems optional
  • optional, not held web analytics optional
12 held skills the data analyst role does not ask for
Skill Type
  • not needed by the target role ABBYY FineReader knowledge
  • not needed by the target role OmniPage knowledge
  • not needed by the target role apply information security policies skill
  • not needed by the target role apply organisational techniques skill
  • not needed by the target role implement data warehousing techniques skill
  • not needed by the target role maintain data entry requirements skill
  • not needed by the target role manage ICT data classification skill
  • not needed by the target role manage digital documents skill
  • not needed by the target role optical character recognition software knowledge
  • not needed by the target role process data skill
  • not needed by the target role use an application-specific interface skill
  • not needed by the target role use word processing software skill
27 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 acquire Tier
  • required, not held business analytics required
  • required, not held data mining required
  • required, not held data quality assessment required
  • required, not held information categorisation required
  • required, not held information extraction required
  • required, not held information structure required
  • required, not held unstructured data required
  • required, not held visual presentation techniques required
  • required, not held business intelligence required
  • required, not held data engineering required
  • required, not held data ethics required
  • required, not held data science required
  • required, not held data visualisation software required
  • required, not held statistics required
  • optional, not held Hadoop optional
  • optional, not held cloud technologies optional
  • optional, not held healthcare analytics optional
  • optional, not held information architecture optional
  • optional, not held online analytical processing optional
  • optional, not held statistical modeling techniques optional
  • optional, not held game theory optional
  • optional, not held image recognition optional
  • optional, not held marketing analytics optional
  • optional, not held multidisciplinary research optional
  • optional, not held research design optional
  • optional, not held social network analysis optional
  • optional, not held web analytics optional
Index

Other moves recorded from data entry clerk

Full index of moves from data entry clerk

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.