Distribution across 12 profiles.
Middle half of Business Intelligence Developers score between 44% and 50%.
0%
50%
100%
p10 · 44%
50% · p90
Task breakdown by work type
On-screen work81%
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
In-person + screen13%
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer + action6%
Computer input, real-world output — needs someone to act on it, not just software.
Fully in-person0%
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Business Intelligence Developer, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
TaskTimeTypeExposure
Extract, transform, and load (ETL) data from multiple source systems into data warehouses or lakes using SQL, Python, or specialized tools
29%DD
61%
Design and build dashboards and reports in tools like Tableau, Power BI, or Looker to visualize business metrics and KPIs
23%DD
57%
Gather requirements from business stakeholders, understand their reporting needs, and translate them into technical solutions
some context neededsocial core
18%AD
19%
Debug failing jobs, investigate data discrepancies between systems, and collaborate with data engineers and analysts to resolve issues
deep expertisesocial core
13%DD
19%
Attend meetings with business teams, present findings, and train users on how to use new dashboards or reports
deep expertisesocial core
8%DA
8%
Write and optimize SQL queries to analyze data, investigate data quality issues, and troubleshoot performance problems
6%DD
64%
Document data pipelines, schema definitions, and dashboard logic; maintain code and documentation repositories
1%DD
44%
TaskTimeTypeExposure
Extract, transform, and load (ETL) data from multiple source systems into data warehouses or lakes using SQL, Python, or specialized tools
22%DD
60%
Design and build dashboards and reports in tools like Tableau, Power BI, or Looker to visualize business metrics and KPIs
deep expertisesocial element
19%DD
29%
Debug failing jobs, investigate data discrepancies between systems, and collaborate with data engineers and analysts to resolve issues
deep expertisesocial element
18%DD
25%
Document data pipelines, schema definitions, and dashboard logic; maintain code and documentation repositories
15%DD
71%
Write and optimize SQL queries to analyze data, investigate data quality issues, and troubleshoot performance problems
11%DD
63%
Gather requirements from business stakeholders, understand their reporting needs, and translate them into technical solutions
10%AD
29%
Attend meetings with business teams, present findings, and train users on how to use new dashboards or reports
deep expertisesocial core
2%DA
8%
TaskTimeTypeExposure
Design and build dashboards and reports in tools like Tableau, Power BI, or Looker to visualize business metrics and KPIs
26%DD
81%
Extract, transform, and load (ETL) data from multiple source systems into data warehouses or lakes using SQL, Python, or specialized tools
22%DD
65%
Write and optimize SQL queries to analyze data, investigate data quality issues, and troubleshoot performance problems
16%DD
58%
Document data pipelines, schema definitions, and dashboard logic; maintain code and documentation repositories
12%DD
51%
Gather requirements from business stakeholders, understand their reporting needs, and translate them into technical solutions
deep expertisesocial core
11%AD
15%
Debug failing jobs, investigate data discrepancies between systems, and collaborate with data engineers and analysts to resolve issues
10%DD
53%
Attend meetings with business teams, present findings, and train users on how to use new dashboards or reports
deep expertisesocial core
1%DA
4%
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AI tools for this role
Tools relevant to the most automatable tasks in this profession.
