Automation index
How much of a Equality officer’s job can AI already do?
A stock equality plan comes earlier. Stopping what happens in the corridor do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Equality officer
29%
AI can already do 29% of this job.
#72 / 623
View rankingEquality officer
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 |
|---|---|---|---|
Diagnosis, equality plan and the pay register.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Harassment protocols, training and clauses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The complaint, the committee and what nobody wants to hear.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Indicators, annual report and bargaining with the firm.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The agreement, tenders and social clauses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
That it is done, and not left as a PDF.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- equality plans
- pay gap register
- harassment protocols
- equality training
- gap diagnosis
- social clauses
- equality indicators
- bargain with the firm
Sources for this job· O*NET 13-1041.00· ESCO/ISCO 2422
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