chief data officertodata analyst
A chief data officer already meets 52% of what the data analyst role asks for. The move turns on 17 required skills not yet in the profile.
52%
60.3/ 100
1 Share of the data analyst role’s weighted skill requirement already met by the chief data officer 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.
Why this move works
A data analyst role treats 19 of its required skills as things a chief data officer already does. These are the ones it depends on most.
- business intelligence
- data engineering
- data ethics
- data mining
- data models
- data quality assessment
What stands in the way is 17 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 34 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 chief data officer background worth leading with.
- already held data ethics arts and humanities
- already held integrate ICT data working with computers
- already held online analytical processing information and communication technologies (icts)
- already held image recognition information and communication technologies (icts)
- already held information categorisation social sciences, journalism and information
- already held make data-driven decisions information skills
All 34 carried skills, including the 19 the data analyst role treats as required.
Table 3 · What you would need to learn
The 33 missing skills fall into 8 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.
- required, not held digital data processing required
- required, not held establish data processes required
- required, not held normalise data required
- required, not held perform data mining 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
- 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
- required, not held interpret current data required
- optional, not held create data models optional
- optional, not held gather data for forensic purposes optional
- optional, not held manage cloud data and storage optional
- optional, not held manage data collection systems optional
- required, not held business analytics required
- required, not held statistics required
- optional, not held statistical modeling techniques optional
- optional, not held game theory optional
- required, not held data visualisation software required
- optional, not held Hadoop optional
- optional, not held web analytics optional
- required, not held documentation types required
- optional, not held social network analysis optional
- optional, not held multidisciplinary research optional
- optional, not held research design optional
2 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 knowledge · sector specific
- 02 digital data processing skill · unknown
- 03 documentation types knowledge · sector specific
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 34 skills that carry over
- already held business intelligence knowledge
- already held data engineering knowledge
- already held data ethics knowledge
- already held data mining knowledge
- already held data models knowledge
- already held data quality assessment knowledge
- already held data science knowledge
- already held define data quality criteria skill
- already held information categorisation knowledge
- already held information confidentiality knowledge
- already held information extraction knowledge
- already held information structure knowledge
- already held integrate ICT data skill
- already held manage data skill
- already held query languages knowledge
- already held resource description framework query language knowledge
- already held unstructured data knowledge
- already held use databases skill
- already held visual presentation techniques 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 cloud technologies knowledge
- already held data storage knowledge
- already held database knowledge
- already held deliver visual presentation of data skill
- already held image recognition knowledge
- already held information architecture knowledge
- already held make data-driven decisions skill
- already held online analytical processing knowledge
- already held report analysis results skill
The 2 learning areas not shown above
- optional, not held marketing analytics optional
- optional, not held healthcare analytics optional
16 supplementary skills, helpful but not required
- optional, not held Hadoop optional
- optional, not held create data models optional
- optional, not held gather data for forensic purposes optional
- optional, not held healthcare analytics optional
- optional, not held manage cloud data and storage optional
- optional, not held manage data collection systems optional
- optional, not held statistical modeling techniques optional
- optional, not held game theory optional
- optional, not held manage quantitative data 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 store digital data and systems optional
- optional, not held use spreadsheets software optional
- optional, not held web analytics optional
27 held skills the data analyst role does not ask for
- 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 Informix 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 Relational Database knowledge
- not needed by the target role PostgreSQL knowledge
- not needed by the target role SQL Server knowledge
- not needed by the target role Teradata Database knowledge
- not needed by the target role apply change management skill
- not needed by the target role apply information security policies skill
- 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 database development tools knowledge
- not needed by the target role database management systems 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 develop information security strategy skill
- not needed by the target role implement ICT risk management skill
- not needed by the target role information security strategy knowledge
- not needed by the target role manage ICT data architecture skill
- not needed by the target role manage ICT data classification skill
- not needed by the target role manage business knowledge skill
- not needed by the target role utilise decision support system skill
13 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- required, not held business analytics required
- required, not held documentation types required
- required, not held data visualisation software required
- required, not held statistics required
- optional, not held Hadoop optional
- optional, not held healthcare analytics optional
- optional, not held statistical modeling techniques optional
- optional, not held game theory 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
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.