Career Overlap Transition record
RecordMove

Data analyst to big data archive librarian

A data analyst already meets 32% of what the big data archive librarian role asks for. The move turns on 15 required skills not yet in the profile.

Fig. 1 · Skill transfer ESCO v1.2.1 · directional
From data analyst
32 % overlap
Distant match
To big data archive librarian
22 You already bring
15 Still to learn
73 Skills in the target role2
Learning distance A rebuild

76.3/ 100

1 How much of what a big data archive librarian is expected to do is already part of a data analyst’s work. Directional: the figure for the reverse move differs, because moving into a speciality is not the same problem as moving out of one. 2 Every skill the big data archive librarian role is recorded as needing, required and optional together. What these numbers mean.

Why

Why this move works

A big data archive librarian role treats 8 of its required skills as things a data analyst already does. You would walk in with these on day one.

  • analyse big data
  • business intelligence
  • data models
  • database
  • digital data processing
  • manage data

What stands in the way is 15 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 big data archive librarian 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 integrate ICT data 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)
  • already held data quality assessment business, administration and law

All 22 carried skills, including the 8 the big data archive librarian role treats as required.

Table 3

Table 3 · What you may need to learn

The 51 missing skills fall into 7 areas of the ESCO skill hierarchy, numbered in the order worth working in. Areas carrying the most required skills come first, and inside each one the required skills sit above the optional ones. Nothing here is a verdict on you: it is a list of what this particular job asks for that your current one does not.

Skill to pick up Tier
01 information skills 4 required, 2 supplementary
  • still to learn maintain data entry requirements required
  • still to learn manage digital archives required
  • still to learn manage content metadata required
  • still to learn manage database required
  • optional, not held manage information access aids optional
  • optional, not held monitor technology trends optional
02 information and communication technologies (icts) 3 required, 24 supplementary
  • still to learn database development tools required
  • still to learn database management systems required
  • still to learn data extraction, transformation and loading tools required
  • optional, not held CA Datacom/DB optional
  • optional, not held DB2 optional
  • optional, not held Filemaker (database management systems) optional
  • optional, not held IBM InfoSphere DataStage optional
  • optional, not held IBM InfoSphere Information Server optional
  • optional, not held IBM Informix optional
  • optional, not held Informatica PowerCenter optional
  • optional, not held MarkLogic optional
  • optional, not held Microsoft Access optional
  • optional, not held MySQL optional
  • optional, not held ObjectStore optional
  • optional, not held OpenEdge Database optional
  • optional, not held Oracle Data Integrator optional
  • optional, not held Oracle Relational Database optional
  • optional, not held Oracle Warehouse Builder optional
  • optional, not held Pentaho Data Integration optional
  • optional, not held PostgreSQL optional
  • optional, not held QlikView Expressor optional
  • optional, not held SAP Data Services optional
  • optional, not held SAS Data Management optional
  • optional, not held SQL Server optional
  • optional, not held SQL Server Integration Services optional
  • optional, not held Teradata Database optional
  • optional, not held TripleStore optional
03 working with computers 3 required, 4 supplementary
  • still to learn maintain database performance required
  • still to learn maintain database security required
  • still to learn manage ICT data classification required
  • optional, not held migrate existing data optional
  • optional, not held perform backups optional
  • optional, not held creatively use digital technologies optional
  • optional, not held digitise documents optional
04 social sciences, journalism and information 2 required
  • still to learn digital curation required
  • still to learn digitization required
05 communication, collaboration and creativity 1 required, 4 supplementary
  • still to learn write database documentation required
  • optional, not held design database backup specifications optional
  • optional, not held design database scheme optional
  • optional, not held give live presentation optional
  • optional, not held identify technological needs optional
06 assisting and caring 1 required, 1 supplementary
  • still to learn comply with legal regulations required
  • optional, not held apply information security policies optional

1 further area in the appendix

Table 4

Table 4 · Where to start

The 3 entries a big data archive librarian 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 analyse big data skill
  • already held business intelligence knowledge
  • already held data models knowledge
  • already held database knowledge
  • already held digital data processing skill
  • already held manage 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 data quality assessment knowledge
  • already held information confidentiality knowledge
  • already held information structure knowledge
  • already held integrate ICT data skill
  • already held manage data collection systems skill
  • already held normalise data skill
  • already held statistics knowledge
  • already held visual presentation techniques knowledge
The 1 learning area not shown above
Skill to pick up Tier
07 management skills 1 required, 1 supplementary
  • still to learn manage archive users guidelines required
  • optional, not held develop ICT workflow optional
36 supplementary skills, helpful but not required
Skill to pick up Tier
  • optional, not held CA Datacom/DB optional
  • optional, not held DB2 optional
  • optional, not held Filemaker (database management systems) optional
  • optional, not held IBM InfoSphere DataStage optional
  • optional, not held IBM InfoSphere Information Server optional
  • optional, not held IBM Informix optional
  • optional, not held Informatica PowerCenter optional
  • optional, not held MarkLogic optional
  • optional, not held Microsoft Access optional
  • optional, not held MySQL optional
  • optional, not held ObjectStore optional
  • optional, not held OpenEdge Database optional
  • optional, not held Oracle Data Integrator optional
  • optional, not held Oracle Relational Database optional
  • optional, not held Oracle Warehouse Builder optional
  • optional, not held Pentaho Data Integration optional
  • optional, not held PostgreSQL optional
  • optional, not held QlikView Expressor optional
  • optional, not held SAP Data Services optional
  • optional, not held SAS Data Management optional
  • optional, not held SQL Server optional
  • optional, not held SQL Server Integration Services optional
  • optional, not held Teradata Database optional
  • optional, not held TripleStore optional
  • optional, not held apply information security policies optional
  • optional, not held design database backup specifications optional
  • optional, not held design database scheme optional
  • optional, not held develop ICT workflow optional
  • optional, not held manage information access aids optional
  • optional, not held migrate existing data optional
  • optional, not held perform backups optional
  • optional, not held creatively use digital technologies optional
  • optional, not held digitise documents optional
  • optional, not held give live presentation optional
  • optional, not held identify technological needs optional
  • optional, not held monitor technology trends optional
45 held skills the big data archive librarian role does not ask for
Skill Type
  • not needed by the target role Hadoop knowledge
  • 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 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 science knowledge
  • not needed by the target role data storage 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 documentation types knowledge
  • not needed by the target role establish data processes 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 implement data quality processes skill
  • 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 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 cleansing skill
  • 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
  • not needed by the target role store digital data and systems skill

5 further entries not listed here

29 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 pick up Tier
  • still to learn digital curation required
  • still to learn database development tools required
  • still to learn database management systems required
  • still to learn data extraction, transformation and loading tools required
  • still to learn digitization required
  • optional, not held CA Datacom/DB optional
  • optional, not held DB2 optional
  • optional, not held Filemaker (database management systems) optional
  • optional, not held IBM InfoSphere DataStage optional
  • optional, not held IBM InfoSphere Information Server optional
  • optional, not held IBM Informix optional
  • optional, not held Informatica PowerCenter optional
  • optional, not held MarkLogic optional
  • optional, not held Microsoft Access optional
  • optional, not held MySQL optional
  • optional, not held ObjectStore optional
  • optional, not held OpenEdge Database optional
  • optional, not held Oracle Data Integrator optional
  • optional, not held Oracle Relational Database optional
  • optional, not held Oracle Warehouse Builder optional
  • optional, not held Pentaho Data Integration optional
  • optional, not held PostgreSQL optional
  • optional, not held QlikView Expressor optional
  • optional, not held SAP Data Services optional
  • optional, not held SAS Data Management optional
  • optional, not held SQL Server optional
  • optional, not held SQL Server Integration Services optional
  • optional, not held Teradata Database optional
  • optional, not held TripleStore optional
Index

Other moves recorded from data analyst

Full index of moves from data analyst

FAQ

Common questions about this move

Can a data analyst become a big data archive librarian?

Yes, and it is a career change move. A data analyst already covers 32% of what a big data archive librarian is expected to do: 22 skills carry over, 8 of which the big data archive librarian role treats as required.

What skills does a data analyst need to become a big data archive librarian?

15 required skills are missing, plus 36 optional ones. They fall into 7 areas of the ESCO skill hierarchy, led by information skills. The single most important is digital curation.

How hard is the move from data analyst to big data archive librarian?

Its learning distance is 76.3 out of 100, which is the career change band. That accounts for both how much is missing and how specialised those skills are.

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.