Automation index
How much of a Revenue manager’s job can AI already do?
A pickup comes earlier. Raising the rate without emptying the hotel do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Revenue manager
27%
AI can already do 27% of this job.
#175 / 623
View rankingRevenue 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 |
|---|---|---|---|
Pickup, competitors and the rate.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Channels, overbooking and the one left on the street.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Events, the holiday and not sleeping on the price.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, management and the staff cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Sales, the group and not giving the room away.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A high rate and a full house, not empty.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
- pickup
- rates
- channels
- overbooking
- holidays
- groups
- competitors
- rooms
Sources for this job· O*NET 11-9081.00· ESCO/ISCO 1411
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