Automation index
How much of a Office manager’s job can AI already do?
An office inventory comes earlier. The house working without running out of paper do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Office manager
27%
AI can already do 27% of this job.
#169 / 623
View rankingOffice 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 |
|---|---|---|---|
Vendors, contracts and the inventory.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Facilities, the air-con and the one who is late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Onboarding, keys and the desk.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Budget, the extra and not overspending.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Management, the surprise and not leaving the office dark.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it works, and not running out of paper.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
- office inventory
- facilities
- onboarding
- vendor contracts
- keys
- desks
- office budget
- air-con
Sources for this job· O*NET 11-3012.00· ESCO/ISCO 1219
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