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.

From data scientist

80%

Overlap1

To data analyst

51 Skills carried over

6 Required, not held

32.3 Difficulty2

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.

Skill the target role also needs Area

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

Skill to acquire Tier

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

required, not held information confidentiality required
required, not held information structure required

optional, not held cloud technologies optional
optional, not held data storage optional
optional, not held information architecture optional
optional, not held database optional
optional, not held web analytics optional

02 information skills 2 required, 2 supplementary

required, not held analyse big data required
required, not held apply statistical analysis techniques required

optional, not held gather data for forensic purposes optional
optional, not held manage cloud data and storage optional

03 working with computers 1 required, 2 supplementary

required, not held digital data processing required

optional, not held manage quantitative data optional
optional, not held store digital data and systems optional

04 social sciences, journalism and information 1 required

required, not held documentation types required

05 natural sciences, mathematics and statistics 1 supplementary

optional, not held game theory optional

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

Skill Type

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

10 supplementary skills, helpful but not required

Skill to acquire Tier

optional, not held cloud technologies optional
optional, not held data storage optional
optional, not held gather data for forensic purposes optional
optional, not held information architecture optional
optional, not held manage cloud data and storage optional
optional, not held database optional
optional, not held game theory optional
optional, not held manage quantitative data optional
optional, not held store digital data and systems optional
optional, not held web analytics optional

46 held skills the data analyst role does not ask for

Skill Type

not needed by the target role apply blended learning skill
not needed by the target role apply for research funding skill
not needed by the target role apply research ethics and scientific integrity principles in research activities skill
not needed by the target role build recommender systems skill
not needed by the target role communicate with a non-scientific audience skill
not needed by the target role computational biology knowledge
not needed by the target role computer simulation knowledge
not needed by the target role conduct research across disciplines skill
not needed by the target role demonstrate disciplinary expertise skill
not needed by the target role design database in the cloud skill
not needed by the target role design database scheme skill
not needed by the target role develop data processing applications skill
not needed by the target role develop professional network with researchers and scientists skill
not needed by the target role digital curation knowledge
not needed by the target role disseminate results to the scientific community skill
not needed by the target role draft scientific or academic papers and technical documentation skill
not needed by the target role empirical analysis knowledge
not needed by the target role evaluate research activities skill
not needed by the target role increase the impact of science on policy and society skill
not needed by the target role integrate gender dimension in research skill
not needed by the target role interact professionally in research and professional environments skill
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 findable accessible interoperable and reusable data skill
not needed by the target role manage intellectual property rights skill
not needed by the target role manage open publications skill
not needed by the target role manage personal professional development skill
not needed by the target role manage research data skill
not needed by the target role mathematical modelling knowledge
not needed by the target role mentor individuals skill
not needed by the target role operate open source software skill
not needed by the target role perform project management skill
not needed by the target role perform scientific research skill
not needed by the target role promote open innovation in research skill
not needed by the target role promote the participation of citizens in scientific and research activities skill
not needed by the target role promote the transfer of knowledge skill
not needed by the target role publish academic research skill
not needed by the target role quantitative analysis knowledge
not needed by the target role scientific computing knowledge
not needed by the target role 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.

Skill to acquire Tier

required, not held documentation types required
required, not held information confidentiality required
required, not held information structure required
optional, not held cloud technologies optional
optional, not held data storage optional
optional, not held information architecture optional
optional, not held database optional
optional, not held game theory optional
optional, not held web analytics optional

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.