Where a data analyst can go next
12 destinations recorded, ranked by how much of the target role a data analyst already meets. The closer to the top of Table 1, the less there is to learn.
Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.
- Highest coverage recorded
- 67%
- Destinations
- 12each with a full record
- Within reach
- 3difficulty under 55
- Skills on file
- 67required or supplementary
Table 2 · A bigger jump
Possible, but expect real retraining rather than a sideways step.
- ICT information and knowledge manager 50% covered · difficulty 58
- data entry supervisor 49% covered · difficulty 55.2
- data engineer 47% covered · difficulty 57
- data scientist 47% covered · difficulty 68.5
- computer vision engineer 43% covered · difficulty 66
- big data archive librarian 32% covered · difficulty 76.3
- artificial intelligence engineer 31% covered · difficulty 78.5
- database integrator 30% covered · difficulty 76.8
- database administrator 28% covered · difficulty 79
Look up another occupation
data analyst is filed under Professionals, ISCO major group 2. The full index lists all ten groups.
How these figures were compiled
Coverage is the share of the target role’s weighted skill requirement a data analyst already meets, counting required skills in full and supplementary ones at 0.35. It is directional: the figure for the reverse move differs. Every entry above opens the full comparison for that move: what carries over, what is missing, and where to start. The full method.