Table 1Transition record

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.

From chief data officer

52%

Overlap1

To data analyst

34 Skills carried over

17 Required, not held

60.3 Difficulty2

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 60.3

This move: 60.3 of 100 · substantial

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.

Table 2

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.

Skill the target role also needs Area

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

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.

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 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

02 information skills 6 required, 4 supplementary

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

03 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

04 information and communication technologies (icts) 1 required, 2 supplementary

required, not held data visualisation software required

optional, not held Hadoop optional
optional, not held web analytics optional

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

required, not held documentation types required

optional, not held social network analysis optional

06 generic programmes and qualifications 2 supplementary

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

2 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 34 skills that carry over

Skill Type

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

Skill to acquire Tier

07 business, administration and law 1 supplementary

optional, not held marketing analytics optional

08 health and welfare 1 supplementary

optional, not held healthcare analytics optional

16 supplementary skills, helpful but not required

Skill to acquire Tier

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

Skill Type

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.

Skill to acquire Tier

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

Index

Other moves recorded from chief data officer

Full index of moves from chief data officer

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.