IS WORK OVER?

Automation index

How much of a BI analyst’s job can AI already do?

A dashboard and a query assemble themselves. Knowing which metric lies, and what the business is asking, do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

BI 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.

TaskShareAIPoints
Model data, light ETL and dashboards.
Estimate

No public source provides a precise figure. This is our estimate.

24%58%+13.9
Write SQL, measures and docs.
Estimate

No public source provides a precise figure. This is our estimate.

18%50%+9
Define KPIs with the business and negotiate meaning.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Present insights and defend the number.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Data quality, alerts and lineage.
Estimate

No public source provides a precise figure. This is our estimate.

14%15%+2.1
Prioritise requests and say no.
Estimate

No public source provides a precise figure. This is our estimate.

12%20%+2.4
Total100%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

Agile coach

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.

TaskShareAIPoints
Boards, metrics and the cadence design.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The real retro and the elephant in the room.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%24%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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