Automation index
How much of a Volunteer coordinator’s job can AI already do?
A spreadsheet rota comes earlier. Getting them to come, stay, and do no harm, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Volunteer coordinator
25%
AI can already do 25% of this job.
#218 / 623
View rankingVolunteer coordinator
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 |
|---|---|---|---|
Recruitment, rotas and the volunteer register.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Train, support and the one who arrives lost.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Insurance, agreements and the volunteering act.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Recognise, keep them and the one who burns out.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The clash between volunteer and staff.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they add, and do not replace paid work.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- recruit volunteers
- make rotas
- train volunteers
- volunteering law
- retain volunteers
- volunteer insurance
- staff conflict
- volunteer register
Sources for this job· O*NET 11-9151.00· ESCO/ISCO 1344
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