Table 1Transition record

big data archive librariantodata entry clerk

A big data archive librarian already meets 50% of what the data entry clerk role asks for. The move turns on 5 required skills not yet in the profile.

From big data archive librarian

50%

Overlap1

To data entry clerk

17 Skills carried over

5 Required, not held

48.4 Difficulty2

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 48.4

This move: 48.4 of 100 · moderate

1 Share of the data entry clerk role’s weighted skill requirement already met by the big data archive librarian 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 17 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 big data archive librarian background worth leading with.

Skill the target role also needs Area

already held maintain data entry requirements information skills
already held manage ICT data classification working with computers
already held normalise data working with computers
already held manage data collection systems information skills
already held database information and communication technologies (icts)
already held data models information and communication technologies (icts)

All 17 carried skills, including the 5 the data entry clerk role treats as required.

Table 3

Table 3 · What you would need to learn

The 17 missing skills fall into 5 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 working with computers 2 required, 7 supplementary

required, not held perform data cleansing required
required, not held use word processing software required

optional, not held establish data processes optional
optional, not held implement data warehousing techniques optional
optional, not held use an application-specific interface optional
optional, not held implement data quality processes optional
optional, not held manage digital documents optional
optional, not held use databases optional
optional, not held use spreadsheets software optional

02 information skills 2 required

required, not held apply statistical analysis techniques required
required, not held process data required

03 social sciences, journalism and information 1 required

required, not held documentation types required

04 information and communication technologies (icts) 4 supplementary

optional, not held ABBYY FineReader optional
optional, not held OmniPage optional
optional, not held data storage 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 17 skills that carry over

Skill Type

already held apply information security policies skill
already held database knowledge
already held maintain data entry requirements 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 information confidentiality knowledge
already held manage ICT data classification skill
already held manage data skill
already held manage data collection systems skill
already held normalise data skill

12 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 storage optional
optional, not held establish data processes optional
optional, not held implement data warehousing techniques optional
optional, not held use an application-specific interface optional
optional, not held apply organisational techniques optional
optional, not held implement data quality processes 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

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

Skill Type

not needed by the target role CA Datacom/DB knowledge
not needed by the target role DB2 knowledge
not needed by the target role Filemaker (database management systems) knowledge
not needed by the target role IBM InfoSphere DataStage knowledge
not needed by the target role IBM InfoSphere Information Server knowledge
not needed by the target role IBM Informix knowledge
not needed by the target role Informatica PowerCenter knowledge
not needed by the target role MarkLogic knowledge
not needed by the target role Microsoft Access knowledge
not needed by the target role MySQL knowledge
not needed by the target role ObjectStore knowledge
not needed by the target role OpenEdge Database knowledge
not needed by the target role Oracle Data Integrator knowledge
not needed by the target role Oracle Relational Database knowledge
not needed by the target role Oracle Warehouse Builder knowledge
not needed by the target role Pentaho Data Integration knowledge
not needed by the target role PostgreSQL knowledge
not needed by the target role QlikView Expressor knowledge
not needed by the target role SAP Data Services knowledge
not needed by the target role SAS Data Management knowledge
not needed by the target role SQL Server knowledge
not needed by the target role SQL Server Integration Services knowledge
not needed by the target role Teradata Database knowledge
not needed by the target role TripleStore knowledge
not needed by the target role analyse big data skill
not needed by the target role business intelligence knowledge
not needed by the target role comply with legal regulations skill
not needed by the target role creatively use digital technologies skill
not needed by the target role data extraction, transformation and loading tools knowledge
not needed by the target role data quality assessment knowledge
not needed by the target role database development tools knowledge
not needed by the target role database management systems knowledge
not needed by the target role design database backup specifications skill
not needed by the target role design database scheme skill
not needed by the target role develop ICT workflow skill
not needed by the target role digital curation knowledge
not needed by the target role digital data processing skill
not needed by the target role digitise documents skill
not needed by the target role digitization knowledge
not needed by the target role give live presentation skill

16 further entries not listed here

5 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 storage optional
optional, not held optical character recognition software optional

Index

Other moves recorded from big data archive librarian

Full index of moves from big data archive librarian

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.