Table 1Transition record

data entry clerktodata quality specialist

A data entry clerk already meets 41% of what the data quality specialist role asks for. The move turns on 11 required skills not yet in the profile.

From data entry clerk

41%

Overlap1

To data quality specialist

15 Skills carried over

11 Required, not held

62.4 Difficulty2

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 62.4

This move: 62.4 of 100 · substantial

1 Share of the data quality specialist 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.

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 quality specialist 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 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 9 the data quality specialist role treats as required.

Table 3

Table 3 · What you would need to learn

The 25 missing skills fall into 9 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 3 required, 2 supplementary

required, not held handle data samples required
required, not held manage database required
required, not held report analysis results required

optional, not held execute ICT audits optional
optional, not held execute analytical mathematical calculations optional

02 communication, collaboration and creativity 2 required, 3 supplementary

required, not held design database scheme required
required, not held address problems critically required

optional, not held design database in the cloud optional
optional, not held build business relationships optional
optional, not held train employees optional

03 management skills 2 required, 2 supplementary

required, not held define data quality criteria required
required, not held manage standards for data exchange required

optional, not held manage schedule of tasks optional
optional, not held perform project management optional

04 working with computers 2 required, 1 supplementary

required, not held utilise regular expressions required
required, not held use data processing techniques required

optional, not held perform data analysis optional

05 arts and humanities 1 required, 1 supplementary

required, not held data ethics required

optional, not held visual presentation techniques optional

06 information and communication technologies (icts) 1 required, 1 supplementary

required, not held information structure required

optional, not held data engineering optional

3 further areas in the appendix

Table 4

Table 4 · Where to start

The 3 entries a data quality specialist 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 establish data processes skill
already held implement data quality processes skill
already held manage data skill
already held normalise data skill
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

The 3 learning areas not shown above

Skill to acquire Tier

07 business, administration and law 2 supplementary

optional, not held data quality assessment optional
optional, not held business processes optional

08 health and welfare 1 supplementary

optional, not held healthcare analytics optional

09 natural sciences, mathematics and statistics 1 supplementary

optional, not held statistics optional

14 supplementary skills, helpful but not required

Skill to acquire Tier

optional, not held data quality assessment optional
optional, not held design database in the cloud optional
optional, not held execute ICT audits optional
optional, not held healthcare analytics optional
optional, not held visual presentation techniques optional
optional, not held build business relationships optional
optional, not held business processes optional
optional, not held data engineering optional
optional, not held execute analytical mathematical calculations optional
optional, not held manage schedule of tasks optional
optional, not held perform data analysis optional
optional, not held perform project management optional
optional, not held statistics optional
optional, not held train employees optional

19 held skills the data quality specialist 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 apply statistical analysis techniques skill
not needed by the target role data models knowledge
not needed by the target role data storage knowledge
not needed by the target role documentation types knowledge
not needed by the target role implement data warehousing techniques skill
not needed by the target role information confidentiality knowledge
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 data collection systems 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 use an application-specific interface skill
not needed by the target role use databases skill
not needed by the target role use spreadsheets software skill
not needed by the target role use word processing software skill

8 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 information structure required
required, not held data ethics required
optional, not held data quality assessment optional
optional, not held healthcare analytics optional
optional, not held visual presentation techniques optional
optional, not held business processes optional
optional, not held data engineering optional
optional, not held statistics 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.