Automation index
How much of a Financial controller’s job can AI already do?
A pack and a budget come earlier. Saying the margin is not that does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Financial controller
26%
AI can already do 26% of this job.
#196 / 623
View rankingFinancial controller
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 |
|---|---|---|---|
Reporting, budgets and variances.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Close, provision and check against the books.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Management, plants and P&L owners.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Systems, masters and data quality.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Audit, controls and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not dressing an EBIT.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
- Reporting, budgets and variances
- Management, plants and P&L owners
- Systems, masters and data quality
- Audit, controls and documentation
- Not dressing an EBIT
- controller
- control de gestion
- financial controller
Sources for this job· O*NET 13-2011.00· ESCO/ISCO 2411
IS WORK OVER?
Data engineer
31%
#36 / 623
View rankingData engineer
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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511