Career Overlap Transition record
RecordMove

Data analyst to artificial 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.

Fig. 1 · Skill transfer ESCO v1.2.1 · directional
From data analyst
31 % overlap
Distant match
To artificial intelligence engineer
19 You already bring
17 Still to learn
89 Skills in the target role2
Learning distance A rebuild

78.5/ 100

1 How much of what an artificial intelligence engineer 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 artificial intelligence engineer role is recorded as needing, required and optional together. What these numbers mean.

Why

Why this move works

An artificial intelligence engineer role treats 14 of its required skills as things a data analyst already does. You would walk in with these on day one.

  • 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

Table 2 · What you already bring

Of the 19 skills that carry over, these are the ones fewest other occupations ask for. An 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.

Skill the target role also needs Area
  • 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

Table 3 · What you may need to learn

The 70 missing skills fall into 6 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.

Skill to pick up Tier
01 information and communication technologies (icts) 8 required, 35 supplementary
  • still to learn Python (computer programming) required
  • still to learn principles of artificial intelligence required
  • still to learn algorithms required
  • still to learn artificial neural networks required
  • still to learn computer programming required
  • still to learn computer simulation required
  • still to learn systems development life-cycle required
  • still to learn 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
02 working with computers 3 required, 5 supplementary
  • still to learn apply ICT systems theory required
  • still to learn creatively use digital technologies required
  • still to learn 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
03 communication, collaboration and creativity 2 required, 4 supplementary
  • still to learn design process required
  • still to learn 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
04 information skills 2 required, 1 supplementary
  • still to learn analyse business requirements required
  • still to learn create data sets required
  • optional, not held build predictive models optional
05 business, administration and law 1 required, 5 supplementary
  • still to learn 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
06 management skills 1 required, 3 supplementary
  • still to learn 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

Table 4 · Where to start

The 3 entries an artificial intelligence engineer 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 19 skills that carry over
Skill Type
  • 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
Skill to pick up Tier
  • 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
Skill Type
  • 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.

Skill to pick up Tier
  • still to learn Python (computer programming) required
  • still to learn business process modelling required
  • still to learn principles of artificial intelligence required
  • still to learn algorithms required
  • still to learn artificial neural networks required
  • still to learn computer programming required
  • still to learn computer simulation required
  • still to learn systems development life-cycle required
  • still to learn 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

Index

Other moves recorded from data analyst

Full index of moves from data analyst

FAQ

Common questions about this move

Can a data analyst become an artificial intelligence engineer?

Yes, and it is a career change move. A data analyst already covers 31% of what an artificial intelligence engineer is expected to do: 19 skills carry over, 14 of which the artificial intelligence engineer role treats as required.

What skills does a data analyst need to become an artificial intelligence engineer?

17 required skills are missing, plus 53 optional ones. They fall into 6 areas of the ESCO skill hierarchy, led by information and communication technologies (icts). The single most important is Python (computer programming).

How hard is the move from data analyst to artificial intelligence engineer?

Its learning distance is 78.5 out of 100, which is the career change band. That accounts for both how much is missing and how specialised those skills are.

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.