data analysttoartificial intelligence engineer
A data analyst already meets 31% of what the artificial intelligence engineer role asks for. The move turns on 17 required skills not yet in the profile.
31%
78.5/ 100
1 Share of the artificial intelligence engineer role’s weighted skill requirement already met by the data analyst 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 artificial intelligence engineer role treats 14 of its required skills as things a data analyst already does. These are the ones it depends on most.
- analyse big data
- data mining
- data models
- data science
- deliver visual presentation of data
- digital data processing
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 19 skills that carry over, these are the ones fewest other occupations ask for. A artificial intelligence engineer 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 business analytics natural sciences, mathematics and statistics
- already held information categorisation social sciences, journalism and information
- already held use data processing techniques working with computers
- already held data science information and communication technologies (icts)
- already held deliver visual presentation of data communication, collaboration and creativity
- already held information architecture information and communication technologies (icts)
All 19 carried skills, including the 14 the artificial intelligence engineer role treats as required.
Table 3 · What you would need to learn
The 70 missing skills fall into 6 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 Python (computer programming) required
- required, not held principles of artificial intelligence required
- required, not held algorithms required
- required, not held artificial neural networks required
- required, not held computer programming required
- required, not held computer simulation required
- required, not held systems development life-cycle required
- required, not held task algorithmisation required
- optional, not held Assembly (computer programming) optional
- optional, not held C# optional
- optional, not held C++ optional
- optional, not held COBOL optional
- optional, not held CoffeeScript optional
- optional, not held Common Lisp optional
- optional, not held Erlang optional
- optional, not held Groovy optional
- optional, not held Haskell optional
- optional, not held Java (computer programming) optional
- optional, not held JavaScript optional
- optional, not held Lisp optional
- optional, not held MATLAB optional
- optional, not held ML (computer programming) optional
- optional, not held Microsoft Visual C++ optional
- optional, not held Objective-C optional
- optional, not held OpenEdge Advanced Business Language optional
- optional, not held PHP optional
- optional, not held Pascal (computer programming) optional
- optional, not held Perl optional
- optional, not held Prolog (computer programming) optional
- optional, not held R optional
- optional, not held Ruby (computer programming) optional
- optional, not held SAP R3 optional
- optional, not held SAS language optional
- optional, not held Scala optional
- optional, not held Scratch (computer programming) optional
- optional, not held Smalltalk (computer programming) optional
- optional, not held Swift (computer programming) optional
- optional, not held TypeScript optional
- optional, not held VBScript optional
- optional, not held Visual Basic optional
- optional, not held database development tools optional
- optional, not held computer vision optional
- optional, not held deep learning optional
- required, not held apply ICT systems theory required
- required, not held creatively use digital technologies required
- required, not held develop statistical software required
- optional, not held build recommender systems optional
- optional, not held manage ICT data classification optional
- optional, not held manage ICT semantic integration optional
- optional, not held utilise machine learning optional
- optional, not held perform dimensionality reduction optional
- required, not held design process required
- required, not held develop creative ideas required
- optional, not held design application interfaces optional
- optional, not held design database scheme optional
- optional, not held apply systemic design thinking optional
- optional, not held build business relationships optional
- required, not held analyse business requirements required
- required, not held create data sets required
- optional, not held build predictive models optional
- required, not held business process modelling required
- optional, not held Agile project management optional
- optional, not held ICT project management methodologies optional
- optional, not held Process-based management optional
- optional, not held lean project management optional
- optional, not held operational research optional
- required, not held define technical requirements required
- optional, not held assess ICT knowledge optional
- optional, not held identify processes for re-engineering optional
- optional, not held manage business knowledge optional
Table 4 · Where to start
The 3 entries a artificial intelligence engineer role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 Python (computer programming) knowledge · sector specific
- 02 apply ICT systems theory skill · sector specific
- 03 business process modelling 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 19 skills that carry over
- already held analyse big data skill
- already held data mining knowledge
- already held data models knowledge
- already held data science knowledge
- already held deliver visual presentation of data skill
- already held digital data processing skill
- already held information architecture knowledge
- already held information categorisation knowledge
- already held information extraction knowledge
- already held information structure knowledge
- already held resource description framework query language knowledge
- already held unstructured data knowledge
- already held use data processing techniques skill
- already held visual presentation techniques knowledge
- already held LINQ knowledge
- already held N1QL knowledge
- already held SPARQL knowledge
- already held business analytics knowledge
- already held business intelligence knowledge
53 supplementary skills, helpful but not required
- optional, not held build recommender systems optional
- optional, not held Agile project management optional
- optional, not held Assembly (computer programming) optional
- optional, not held C# optional
- optional, not held C++ optional
- optional, not held COBOL optional
- optional, not held CoffeeScript optional
- optional, not held Common Lisp optional
- optional, not held Erlang optional
- optional, not held Groovy optional
- optional, not held Haskell optional
- optional, not held ICT project management methodologies optional
- optional, not held Java (computer programming) optional
- optional, not held JavaScript optional
- optional, not held Lisp optional
- optional, not held MATLAB optional
- optional, not held ML (computer programming) optional
- optional, not held Microsoft Visual C++ optional
- optional, not held Objective-C optional
- optional, not held OpenEdge Advanced Business Language optional
- optional, not held PHP optional
- optional, not held Pascal (computer programming) optional
- optional, not held Perl optional
- optional, not held Process-based management optional
- optional, not held Prolog (computer programming) optional
- optional, not held R optional
- optional, not held Ruby (computer programming) optional
- optional, not held SAP R3 optional
- optional, not held SAS language optional
- optional, not held Scala optional
- optional, not held Scratch (computer programming) optional
- optional, not held Smalltalk (computer programming) optional
- optional, not held Swift (computer programming) optional
- optional, not held TypeScript optional
- optional, not held VBScript optional
- optional, not held Visual Basic optional
- optional, not held assess ICT knowledge optional
- optional, not held build predictive models optional
- optional, not held database development tools optional
- optional, not held design application interfaces optional
13 further entries not listed here
48 held skills the artificial intelligence engineer 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 MDX knowledge
- not needed by the target role XQuery knowledge
- not needed by the target role apply statistical analysis techniques skill
- 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 create data models 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 quality assessment knowledge
- not needed by the target role data storage 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 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 information confidentiality knowledge
- not needed by the target role integrate ICT data skill
- not needed by the target role interpret current data skill
- not needed by the target role make data-driven decisions skill
- not needed by the target role manage cloud data and storage skill
- not needed by the target role manage data skill
- not needed by the target role manage data collection systems 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 online analytical processing knowledge
- not needed by the target role perform data cleansing skill
- not needed by the target role perform data mining skill
- not needed by the target role query languages knowledge
- not needed by the target role report analysis results skill
8 further entries not listed here
49 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 Python (computer programming) required
- required, not held business process modelling required
- required, not held principles of artificial intelligence required
- required, not held algorithms required
- required, not held artificial neural networks required
- required, not held computer programming required
- required, not held computer simulation required
- required, not held systems development life-cycle required
- required, not held task algorithmisation required
- optional, not held Agile project management optional
- optional, not held Assembly (computer programming) optional
- optional, not held C# optional
- optional, not held C++ optional
- optional, not held COBOL optional
- optional, not held CoffeeScript optional
- optional, not held Common Lisp optional
- optional, not held Erlang optional
- optional, not held Groovy optional
- optional, not held Haskell optional
- optional, not held ICT project management methodologies optional
- optional, not held Java (computer programming) optional
- optional, not held JavaScript optional
- optional, not held Lisp optional
- optional, not held MATLAB optional
- optional, not held ML (computer programming) optional
- optional, not held Microsoft Visual C++ optional
- optional, not held Objective-C optional
- optional, not held OpenEdge Advanced Business Language optional
- optional, not held PHP optional
- optional, not held Pascal (computer programming) optional
- optional, not held Perl optional
- optional, not held Process-based management optional
- optional, not held Prolog (computer programming) optional
- optional, not held R optional
- optional, not held Ruby (computer programming) optional
- optional, not held SAP R3 optional
- optional, not held SAS language optional
- optional, not held Scala optional
- optional, not held Scratch (computer programming) optional
- optional, not held Smalltalk (computer programming) optional
9 further entries not listed here
Other moves recorded from data analyst
- data quality specialist 67% covered · moderate
- data entry clerk 63% covered · moderate
- chief data officer 56% covered · moderate
- ICT information and knowledge manager 50% covered · substantial
- data entry supervisor 49% covered · substantial
- data engineer 47% covered · substantial
- data scientist 47% covered · substantial
- computer vision engineer 43% covered · substantial
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.