Table 1Transition record

ICT information and knowledge managertodata analyst

A ICT information and knowledge manager already meets 31% of what the data analyst role asks for. The move turns on 24 required skills not yet in the profile.

From ICT information and knowledge manager

31%

Overlap1

To data analyst

19 Skills carried over

24 Required, not held

77.3 Difficulty2

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 77.3

This move: 77.3 of 100 · career change

1 Share of the data analyst role’s weighted skill requirement already met by the ICT information and knowledge manager 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 19 skills that carry over, these are the ones fewest other occupations ask for. A data analyst role needs them, and most people applying for one will not have them already. This is the part of a ICT information and knowledge manager background worth leading with.

Skill the target role also needs Area

already held online analytical processing information and communication technologies (icts)
already held information categorisation social sciences, journalism and information
already held interpret current data information skills
already held create data models information skills
already held manage data collection systems information skills
already held deliver visual presentation of data communication, collaboration and creativity

All 19 carried skills, including the 12 the data analyst role treats as required.

Table 3

Table 3 · What you would need to learn

The 48 missing skills fall into 10 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 7 required, 3 supplementary

required, not held digital data processing required
required, not held establish data processes required
required, not held integrate ICT data required
required, not held normalise data required
required, not held implement data quality processes required
required, not held perform data cleansing required
required, not held use data processing techniques required

optional, not held manage quantitative data optional
optional, not held store digital data and systems optional
optional, not held use spreadsheets software optional

02 information skills 6 required, 3 supplementary

required, not held manage data required
required, not held analyse big data required
required, not held apply statistical analysis techniques required
required, not held collect ICT data required
required, not held execute analytical mathematical calculations required
required, not held handle data samples required

optional, not held gather data for forensic purposes optional
optional, not held make data-driven decisions optional
optional, not held report analysis results optional

03 information and communication technologies (icts) 5 required, 11 supplementary

required, not held query languages required
required, not held resource description framework query language required
required, not held data engineering required
required, not held data science required
required, not held data visualisation software required

optional, not held Hadoop optional
optional, not held LDAP optional
optional, not held LINQ optional
optional, not held MDX optional
optional, not held N1QL optional
optional, not held SPARQL optional
optional, not held XQuery optional
optional, not held cloud technologies optional
optional, not held database optional
optional, not held image recognition optional
optional, not held web analytics optional

04 natural sciences, mathematics and statistics 2 required, 2 supplementary

required, not held business analytics required
required, not held statistics required

optional, not held statistical modeling techniques optional
optional, not held game theory optional

05 arts and humanities 2 required

required, not held visual presentation techniques required
required, not held data ethics required

06 social sciences, journalism and information 1 required, 1 supplementary

required, not held documentation types required

optional, not held social network analysis optional

4 further areas in the appendix

Table 4

Table 4 · Where to start

The 3 entries a data analyst 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 business intelligence knowledge
already held data mining knowledge
already held data models knowledge
already held data quality assessment knowledge
already held information categorisation knowledge
already held information confidentiality knowledge
already held information extraction knowledge
already held information structure knowledge
already held interpret current data skill
already held perform data mining skill
already held unstructured data knowledge
already held use databases skill
already held create data models skill
already held data storage knowledge
already held deliver visual presentation of data skill
already held information architecture knowledge
already held manage cloud data and storage skill
already held manage data collection systems skill
already held online analytical processing knowledge

The 4 learning areas not shown above

Skill to acquire Tier

07 management skills 1 required

required, not held define data quality criteria required

08 generic programmes and qualifications 2 supplementary

optional, not held multidisciplinary research optional
optional, not held research design optional

09 business, administration and law 1 supplementary

optional, not held marketing analytics optional

10 health and welfare 1 supplementary

optional, not held healthcare analytics optional

24 supplementary skills, helpful but not required

Skill to acquire Tier

optional, not held Hadoop optional
optional, not held LDAP optional
optional, not held LINQ optional
optional, not held MDX optional
optional, not held N1QL optional
optional, not held SPARQL optional
optional, not held XQuery optional
optional, not held cloud technologies optional
optional, not held gather data for forensic purposes optional
optional, not held healthcare analytics optional
optional, not held statistical modeling techniques optional
optional, not held database optional
optional, not held game theory optional
optional, not held image recognition optional
optional, not held make data-driven decisions optional
optional, not held manage quantitative data optional
optional, not held marketing analytics optional
optional, not held multidisciplinary research optional
optional, not held report analysis results optional
optional, not held research design optional
optional, not held social network analysis optional
optional, not held store digital data and systems optional
optional, not held use spreadsheets software optional
optional, not held web analytics optional

23 held skills the data analyst role does not ask for

Skill Type

not needed by the target role analyse the context of an organisation skill
not needed by the target role assess ICT knowledge skill
not needed by the target role assess informational needs skill
not needed by the target role attack vectors knowledge
not needed by the target role business processes knowledge
not needed by the target role coordinate technological activities skill
not needed by the target role data protection knowledge
not needed by the target role decision support systems knowledge
not needed by the target role define technology strategy skill
not needed by the target role design information system skill
not needed by the target role ensure information privacy skill
not needed by the target role implement ICT security policies skill
not needed by the target role implement data warehousing techniques skill
not needed by the target role information security strategy knowledge
not needed by the target role interact with users to gather requirements skill
not needed by the target role keep up with the latest information systems solutions skill
not needed by the target role manage ICT data architecture skill
not needed by the target role manage business knowledge skill
not needed by the target role manage information access aids skill
not needed by the target role manage information sources skill
not needed by the target role migrate existing data skill
not needed by the target role structure information skill
not needed by the target role utilise decision support system skill

28 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 business analytics required
required, not held documentation types required
required, not held query languages required
required, not held resource description framework query language required
required, not held visual presentation techniques required
required, not held data engineering required
required, not held data ethics required
required, not held data science required
required, not held data visualisation software required
required, not held statistics required
optional, not held Hadoop optional
optional, not held LDAP optional
optional, not held LINQ optional
optional, not held MDX optional
optional, not held N1QL optional
optional, not held SPARQL optional
optional, not held XQuery optional
optional, not held cloud technologies optional
optional, not held healthcare analytics optional
optional, not held statistical modeling techniques optional
optional, not held database optional
optional, not held game theory optional
optional, not held image recognition optional
optional, not held marketing analytics optional
optional, not held multidisciplinary research optional
optional, not held research design optional
optional, not held social network analysis optional
optional, not held web analytics optional

Index

Other moves recorded from ICT information and knowledge manager

Full index of moves from ICT information and knowledge manager

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.