Table 1Transition record

data quality specialisttodata entry clerk

A data quality specialist already meets 46% of what the data entry clerk role asks for. The move turns on 5 required skills not yet in the profile.

From data quality specialist

46%

Overlap1

To data entry clerk

15 Skills carried over

5 Required, not held

53 Difficulty2

Career overlap Partial match

46%

Learning distance Real move, short list to learn

53/ 100

Easy adjacentmoderatesubstantialcareer change Hard

1 Share of the data entry clerk role’s weighted skill requirement already met by the data quality specialist 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 clerk role treats 5 of its required skills as things a data quality specialist already does. These are the ones it depends on most.

database
perform data cleansing
process data
query languages
resource description framework query language

What stands in the way is 5 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 15 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 quality specialist background worth leading with.

Skill the target role also needs Area

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 database information and communication technologies (icts)
already held LDAP information and communication technologies (icts)

All 15 carried skills, including the 5 the data entry clerk role treats as required.

Table 3

Table 3 · What you would need to learn

The 19 missing skills fall into 6 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 skills 2 required, 1 supplementary

required, not held maintain data entry requirements required
required, not held apply statistical analysis techniques required

optional, not held manage data collection systems optional

02 working with computers 1 required, 6 supplementary

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
optional, not held use databases optional
optional, not held use spreadsheets software optional

03 assisting and caring 1 required

required, not held apply information security policies required

04 social sciences, journalism and information 1 required

required, not held documentation types required

05 information and communication technologies (icts) 6 supplementary

optional, not held ABBYY FineReader optional
optional, not held OmniPage optional
optional, not held data models optional
optional, not held data storage optional
optional, not held information confidentiality optional
optional, not held optical character recognition software optional

06 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 15 skills that carry over

Skill Type

already held database knowledge
already held perform data cleansing skill
already held process data 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 establish data processes skill
already held implement data quality processes skill
already held manage data skill
already held normalise data skill

14 supplementary skills, helpful but not required

Skill to acquire Tier

optional, not held ABBYY FineReader optional
optional, not held OmniPage optional
optional, not held data models optional
optional, not held data storage optional
optional, not held implement data warehousing techniques optional
optional, not held information confidentiality optional
optional, not held manage ICT data classification optional
optional, not held manage data collection systems 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
optional, not held use databases optional
optional, not held use spreadsheets software optional

25 held skills the data entry clerk role does not ask for

Skill Type

not needed by the target role address problems critically skill
not needed by the target role build business relationships skill
not needed by the target role business processes knowledge
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 quality assessment knowledge
not needed by the target role define data quality criteria skill
not needed by the target role design database in the cloud skill
not needed by the target role design database scheme skill
not needed by the target role execute ICT audits skill
not needed by the target role execute analytical mathematical calculations 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 information structure knowledge
not needed by the target role manage database skill
not needed by the target role manage schedule of tasks skill
not needed by the target role manage standards for data exchange skill
not needed by the target role perform data analysis skill
not needed by the target role perform project management skill
not needed by the target role report analysis results skill
not needed by the target role statistics knowledge
not needed by the target role train employees skill
not needed by the target role use data processing techniques skill
not needed by the target role utilise regular expressions skill
not needed by the target role visual presentation techniques knowledge

7 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 documentation types required
optional, not held ABBYY FineReader optional
optional, not held OmniPage optional
optional, not held data models optional
optional, not held data storage optional
optional, not held information confidentiality optional
optional, not held optical character recognition software optional

Index

Other moves recorded from data quality specialist

Full index of moves from data quality specialist

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.