Automation index
How much of a Spa manager’s job can AI already do?
A cabin diary comes earlier. The house smelling right without double-booking the massage do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Spa manager
27%
AI can already do 27% of this job.
#148 / 623
View rankingSpa manager
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 |
|---|---|---|---|
Diary, cabins and the staff.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Client, the complaint and the one who is late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Protocols, hygiene and the product.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Occupancy, the hotel and not giving the circuit away.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The inspection, insurance and not hiding the incident.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Smell right, and no double-booked massage.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cabin diary
- hygiene protocols
- the circuit
- spa occupancy
- spa staff
- products
- complaints
- massages
Sources for this job· O*NET 11-9072.00· ESCO/ISCO 1431
IS WORK OVER?
BI analyst
34%
#18 / 623
View rankingBI 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 |
|---|---|---|---|
Model data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511