ICT information and knowledge manager to data analyst
An 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.
77.3/ 100
1 How much of what a data analyst is expected to do is already part of an ICT information and knowledge manager’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 data analyst role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A data analyst role treats 12 of its required skills as things an ICT information and knowledge manager already does. You would walk in with these on day one.
- business intelligence
- data mining
- data models
- data quality assessment
- information categorisation
- information confidentiality
What stands in the way is 24 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. A data analyst role needs them, and most people applying for one will not have them already. This is the part of an ICT information and knowledge manager 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 12 the data analyst role treats as required.
Table 3 · What you may need to learn
The 48 missing skills fall into 10 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 digital data processing required
- still to learn establish data processes required
- still to learn integrate ICT data required
- still to learn normalise data required
- still to learn implement data quality processes required
- still to learn perform data cleansing required
- still to learn 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
- still to learn manage data required
- still to learn analyse big data required
- still to learn apply statistical analysis techniques required
- still to learn collect ICT data required
- still to learn execute analytical mathematical calculations required
- still to learn 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
- still to learn query languages required
- still to learn resource description framework query language required
- still to learn data engineering required
- still to learn data science required
- still to learn 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
- still to learn business analytics required
- still to learn statistics required
- optional, not held statistical modeling techniques optional
- optional, not held game theory optional
- still to learn visual presentation techniques required
- still to learn data ethics required
- still to learn documentation types required
- optional, not held social network analysis optional
4 further areas in the appendix
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.
- 01 business analytics study this
- 02 define data quality criteria practise this
- 03 digital data processing practise 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 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
- still to learn define data quality criteria required
- optional, not held multidisciplinary research optional
- optional, not held research design optional
- optional, not held marketing analytics optional
- optional, not held healthcare analytics optional
24 supplementary skills, helpful but not 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 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
- 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.
- still to learn business analytics required
- still to learn documentation types required
- still to learn query languages required
- still to learn resource description framework query language required
- still to learn visual presentation techniques required
- still to learn data engineering required
- still to learn data ethics required
- still to learn data science required
- still to learn data visualisation software required
- still to learn 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
Other moves recorded from ICT information and knowledge manager
- chief data officer 41% covered · substantial
- data engineer 26% covered · substantial
- information manager 25% covered · substantial
- ICT business analysis manager 20% covered · career change
Full index of moves from ICT information and knowledge manager
Common questions about this move
Can an ICT information and knowledge manager become a data analyst?
Yes, and it is a career change move. An ICT information and knowledge manager already covers 31% of what a data analyst is expected to do: 19 skills carry over, 12 of which the data analyst role treats as required.
What skills does an ICT information and knowledge manager need to become a data analyst?
24 required skills are missing, plus 24 optional ones. They fall into 10 areas of the ESCO skill hierarchy, led by working with computers. The single most important is business analytics.
How hard is the move from ICT information and knowledge manager to data analyst?
Its learning distance is 77.3 out of 100, which is the career change 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.