Table 1Transition record

data scientisttodata analyst

A data scientist already meets 80% of what the data analyst role asks for. The move turns on 6 required skills not yet in the profile.

Coverage of the target role1: 80%
Skills carried over: 5130 of them required
Required, not held: 6plus 10 supplementary
Difficulty2: 32.3moderate

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 32.3

This move: 32.3 of 100 · moderate

1 Share of the data analyst role’s weighted skill requirement already met by the data scientist 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 51 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 data scientist background worth leading with.

Held Skill the target role also needs Area

✓ collect ICT data information skills
✓ Hadoop information and communication technologies (icts)
✓ handle data samples information skills
✓ data ethics arts and humanities
✓ integrate ICT data working with computers
✓ normalise data working with computers

All 51 carried skills, including the 30 the data analyst role treats as required.

Table 3

Table 3 · What you would need to learn

The 16 missing skills fall into 5 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.

Tier Skill to acquire Type

01 information and communication technologies (icts) 2 required, 5 supplementary

REQ information confidentiality knowledge
REQ information structure knowledge

sup cloud technologies knowledge
sup data storage knowledge
sup information architecture knowledge
sup database knowledge
sup web analytics knowledge

02 information skills 2 required, 2 supplementary

REQ analyse big data skill
REQ apply statistical analysis techniques skill

sup gather data for forensic purposes skill
sup manage cloud data and storage skill

03 working with computers 1 required, 2 supplementary

REQ digital data processing skill

sup manage quantitative data skill
sup store digital data and systems skill

04 social sciences, journalism and information 1 required

REQ documentation types knowledge

05 natural sciences, mathematics and statistics 1 supplementary

sup game theory knowledge

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 51 skills that carry over

Tier Skill Type

REQ business analytics knowledge
REQ business intelligence knowledge
REQ collect ICT data skill
REQ data engineering knowledge
REQ data ethics knowledge
REQ data mining knowledge
REQ data models knowledge
REQ data quality assessment knowledge
REQ data science knowledge
REQ data visualisation software knowledge
REQ define data quality criteria skill
REQ establish data processes skill
REQ execute analytical mathematical calculations skill
REQ handle data samples skill
REQ implement data quality processes skill
REQ information categorisation knowledge
REQ information extraction knowledge
REQ integrate ICT data skill
REQ interpret current data skill
REQ manage data skill
REQ normalise data skill
REQ perform data cleansing skill
REQ perform data mining skill
REQ query languages knowledge
REQ resource description framework query language knowledge
REQ statistics knowledge
REQ unstructured data knowledge
REQ use data processing techniques skill
REQ use databases skill
REQ visual presentation techniques knowledge
sup Hadoop knowledge
sup LDAP knowledge
sup LINQ knowledge
sup MDX knowledge
sup N1QL knowledge
sup SPARQL knowledge
sup XQuery knowledge
sup create data models skill
sup deliver visual presentation of data skill
sup healthcare analytics knowledge
sup image recognition knowledge
sup make data-driven decisions skill
sup manage data collection systems skill
sup marketing analytics knowledge
sup multidisciplinary research knowledge
sup online analytical processing knowledge
sup report analysis results skill
sup research design knowledge
sup social network analysis knowledge
sup statistical modeling techniques knowledge
sup use spreadsheets software skill

10 supplementary skills, helpful but not required

Tier Skill to acquire Type

sup cloud technologies knowledge
sup data storage knowledge
sup gather data for forensic purposes skill
sup information architecture knowledge
sup manage cloud data and storage skill
sup database knowledge
sup game theory knowledge
sup manage quantitative data skill
sup store digital data and systems skill
sup web analytics knowledge

46 held skills the data analyst role does not ask for

Skill Type

· apply blended learning skill
· apply for research funding skill
· apply research ethics and scientific integrity principles in research activities skill
· build recommender systems skill
· communicate with a non-scientific audience skill
· computational biology knowledge
· computer simulation knowledge
· conduct research across disciplines skill
· demonstrate disciplinary expertise skill
· design database in the cloud skill
· design database scheme skill
· develop data processing applications skill
· develop professional network with researchers and scientists skill
· digital curation knowledge
· disseminate results to the scientific community skill
· draft scientific or academic papers and technical documentation skill
· empirical analysis knowledge
· evaluate research activities skill
· increase the impact of science on policy and society skill
· integrate gender dimension in research skill
· interact professionally in research and professional environments skill
· manage ICT data architecture skill
· manage ICT data classification skill
· manage findable accessible interoperable and reusable data skill
· manage intellectual property rights skill
· manage open publications skill
· manage personal professional development skill
· manage research data skill
· mathematical modelling knowledge
· mentor individuals skill
· operate open source software skill
· perform project management skill
· perform scientific research skill
· promote open innovation in research skill
· promote the participation of citizens in scientific and research activities skill
· promote the transfer of knowledge skill
· publish academic research skill
· quantitative analysis knowledge
· scientific computing knowledge
· scientific literature knowledge

6 further entries not listed here

9 gaps that are knowledge rather than practice

Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.

Tier Skill to acquire Type

REQ documentation types knowledge
REQ information confidentiality knowledge
REQ information structure knowledge
sup cloud technologies knowledge
sup data storage knowledge
sup information architecture knowledge
sup database knowledge
sup game theory knowledge
sup web analytics knowledge

Index

Other moves recorded from data scientist

Full index of moves from data scientist

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.