Data analyst to ICT information and knowledge manager
A data analyst already meets 50% of what the ICT information and knowledge manager role asks for. The move turns on 12 required skills not yet in the profile.
58/ 100
1 How much of what an ICT information and knowledge manager 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 ICT information and knowledge manager role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
An ICT information and knowledge manager role treats 14 of its required skills as things a data analyst already does. You would walk in with these on day one.
- business intelligence
- create data models
- data mining
- data models
- data storage
- deliver visual presentation of data
What stands in the way is 12 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
Table 2 · What you already bring
Of the 19 skills that carry over, these are the ones fewest other occupations ask for. An ICT information and knowledge manager 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.
- 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 14 the ICT information and knowledge manager role treats as required.
Table 3 · What you may need to learn
The 23 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.
- still to learn analyse the context of an organisation required
- still to learn manage information sources required
- still to learn structure information required
- optional, not held keep up with the latest information systems solutions optional
- optional, not held manage information access aids optional
- still to learn attack vectors required
- still to learn decision support systems required
- still to learn information security strategy required
- optional, not held data protection optional
- still to learn assess informational needs required
- still to learn manage ICT data architecture required
- optional, not held design information system optional
- optional, not held interact with users to gather requirements optional
- still to learn define technology strategy required
- still to learn manage business knowledge required
- optional, not held assess ICT knowledge optional
- optional, not held coordinate technological activities optional
- still to learn migrate existing data required
- optional, not held implement ICT security policies optional
- optional, not held implement data warehousing techniques optional
- optional, not held utilise decision support system optional
- still to learn business processes required
1 further area in the appendix
Table 4 · Where to start
The 3 entries an ICT information and knowledge manager role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 assess informational needs practise this
- 02 attack vectors study this
- 03 decision support systems study this
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 19 skills that carry over
- already held business intelligence knowledge
- already held create data models skill
- already held data mining knowledge
- already held data models knowledge
- already held data storage knowledge
- already held deliver visual presentation of data skill
- already held information architecture knowledge
- already held information categorisation knowledge
- already held information extraction knowledge
- already held information structure knowledge
- already held interpret current data skill
- already held manage data collection systems skill
- already held online analytical processing knowledge
- already held unstructured data knowledge
- already held data quality assessment knowledge
- already held information confidentiality knowledge
- already held manage cloud data and storage skill
- already held perform data mining skill
- already held use databases skill
The 1 learning area not shown above
- optional, not held ensure information privacy optional
11 supplementary skills, helpful but not required
- optional, not held assess ICT knowledge optional
- optional, not held coordinate technological activities optional
- optional, not held data protection optional
- optional, not held design information system optional
- optional, not held ensure information privacy optional
- optional, not held implement ICT security policies optional
- optional, not held implement data warehousing techniques optional
- optional, not held interact with users to gather requirements optional
- optional, not held keep up with the latest information systems solutions optional
- optional, not held manage information access aids optional
- optional, not held utilise decision support system optional
48 held skills the ICT information and knowledge manager role does not ask for
- not needed by the target role Hadoop knowledge
- not needed by the target role LDAP knowledge
- not needed by the target role LINQ knowledge
- not needed by the target role MDX knowledge
- not needed by the target role N1QL knowledge
- not needed by the target role SPARQL knowledge
- not needed by the target role XQuery knowledge
- not needed by the target role analyse big data skill
- 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 data engineering knowledge
- not needed by the target role data ethics knowledge
- not needed by the target role data science knowledge
- not needed by the target role data visualisation software knowledge
- not needed by the target role database knowledge
- not needed by the target role define data quality criteria skill
- not needed by the target role digital data processing 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 integrate ICT data skill
- not needed by the target role make data-driven decisions skill
- not needed by the target role manage data 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 normalise data skill
- not needed by the target role perform data cleansing skill
- not needed by the target role query languages knowledge
- 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 resource description framework query language knowledge
8 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.
- still to learn attack vectors required
- still to learn decision support systems required
- still to learn information security strategy required
- still to learn business processes required
- optional, not held data protection optional
Other moves recorded from data analyst
- data quality specialist 67% covered · moderate
- data entry clerk 63% covered · moderate
- chief data officer 56% covered · moderate
- data entry supervisor 49% covered · substantial
- data engineer 47% covered · substantial
- data scientist 47% covered · substantial
- computer vision engineer 43% covered · substantial
- big data archive librarian 32% covered · career change
Common questions about this move
Can a data analyst become an ICT information and knowledge manager?
Yes, and it is a substantial move. A data analyst already covers 50% of what an ICT information and knowledge manager is expected to do: 19 skills carry over, 14 of which the ICT information and knowledge manager role treats as required.
What skills does a data analyst need to become an ICT information and knowledge manager?
12 required skills are missing, plus 11 optional ones. They fall into 7 areas of the ESCO skill hierarchy, led by information skills. The single most important is assess informational needs.
How hard is the move from data analyst to ICT information and knowledge manager?
Its learning distance is 58 out of 100, which is the substantial band. That accounts for both how much is missing and how specialised those skills are.
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.