Automation index
How much of a Section supervisor’s job can AI already do?
A section planogram comes earlier. The shelf being there and the shift running do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Section supervisor
22%
AI can already do 22% of this job.
#331 / 623
View rankingSection supervisor
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 |
|---|---|---|---|
Section, planogram and the order.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Shift, the gap and the one who is late.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Customer, the complaint and the one who cannot find it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Shrink, dates and not hiding them.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The store manager, the peak and not leaving the shelf empty.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
The shelf, and the shift standing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- section
- planogram
- shrink
- dates
- store shifts
- complaints
- section orders
- gaps
Sources for this job· O*NET 41-1011.00· ESCO/ISCO 5222
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