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

data analysttodata entry supervisor

A data analyst already meets 49% of what the data entry supervisor role asks for. The move turns on 10 required skills not yet in the profile.

From data analyst
49%
Overlap1
To data entry supervisor
19 Skills carried over
10 Required, not held
55.2 Difficulty2
Career overlap Partial match

49%

Learning distance Substantial retraining

55.2/ 100

1 Share of the data entry supervisor 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.

Why

Why this move works

A data entry supervisor role treats 11 of its required skills as things a data analyst already does. These are the ones it depends on most.

  • LDAP
  • LINQ
  • MDX
  • N1QL
  • SPARQL
  • XQuery

What stands in the way is 10 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 19 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 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 19 carried skills, including the 11 the data entry supervisor role treats as required.

Table 3

Table 3 · What you would need to learn

The 23 missing skills fall into 7 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 management skills 4 required, 5 supplementary
  • required, not held introduce new employees required
  • required, not held manage schedule of tasks required
  • required, not held motivate employees required
  • required, not held 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
02 information skills 3 required, 2 supplementary
  • required, not held estimate duration of work required
  • required, not held gather feedback from employees required
  • required, not held supervise data entry required
  • optional, not held maintain data entry requirements optional
  • optional, not held process data optional
03 communication, collaboration and creativity 1 required, 1 supplementary
  • required, not held manage employee complaints required
  • optional, not held coach employees optional
04 assisting and caring 1 required
  • required, not held apply information security policies required
05 business, administration and law 1 required
  • required, not held company policies required
06 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

1 further area in the appendix

Table 4

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.

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

Appendix

Appendix · The rest of the record

All 19 skills that carry over
Skill Type
  • 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 database knowledge
  • already held documentation types knowledge
  • already held information confidentiality knowledge
  • already held query languages knowledge
  • already held resource description framework query language 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 manage data skill
  • already held manage data collection systems skill
  • already held normalise data skill
  • already held perform data cleansing skill
The 1 learning area not shown above
Skill to acquire Tier
07 working with computers 2 supplementary
  • optional, not held implement data warehousing techniques optional
  • optional, not held manage ICT data classification optional
13 supplementary skills, helpful but not required
Skill to acquire Tier
  • optional, not held ABBYY FineReader optional
  • optional, not held OmniPage 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 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 optical character recognition software optional
  • optional, not held process data optional
  • optional, not held recruit employees optional
48 held skills the data entry supervisor 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 apply statistical analysis techniques 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

8 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.

Skill to acquire Tier
  • required, not held company policies required
  • optional, not held ABBYY FineReader optional
  • optional, not held OmniPage optional
  • optional, not held optical character recognition software optional
Index

Other moves recorded from data analyst

Full index of moves from data analyst

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.