Automation index
How much of a Credit analyst’s job can AI already do?
A score and a balance sheet come earlier. Saying no to a friend of the director does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Credit analyst
26%
AI can already do 26% of this job.
#192 / 623
View rankingCredit analyst
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Scoring, accounts and a first opinion.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Visit, check and ask for more papers.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Committee, director and terms.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Monitoring, alerts and refinancing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Rules, circular and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not lending to someone who will not pay back.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Scoring, accounts and a first opinion
- Visit, check and ask for more papers
- Committee, director and terms
- Monitoring, alerts and refinancing
- Rules, circular and documentation
- analista de credito
- credit analyst
Sources for this job· O*NET 13-2041.00· ESCO/ISCO 2413
IS WORK OVER?
Data architect
28%
#83 / 623
View rankingData architect
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511