Distribution across 10 profiles.
Middle half of Head Of Business Intelligences score between 26% and 31%.
0%
50%
100%
p10 · 22%
35% · p90
Task breakdown by work type
On-screen work63%
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
In-person + screen2%
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer + action20%
Computer input, real-world output — needs someone to act on it, not just software.
Fully in-person14%
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Head Of Business Intelligence, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
TaskTimeTypeExposure
Create dashboards and reports in BI tools (Tableau, Power BI, Looker) to track KPIs and business metrics
25%DD
44%
Analyze business data to identify trends, anomalies, and opportunities; write up findings and recommendations
deep expertisesocial core
22%DD
14%
Build and maintain data pipelines, ETL processes, and warehouse schemas to ingest data from multiple sources
deep expertisesocial element
21%DD
30%
Mentor and manage junior analysts; review their work and provide feedback on analysis quality and methodology
deep expertisesocial core
18%DA
5%
Meet with stakeholders across product, finance, marketing, and operations to understand their data needs and priorities
deep expertisesocial core
6%AA
9%
Present insights and recommendations to executives and leadership in meetings and executive briefings
deep expertisesocial core
5%DA
0%
Troubleshoot data quality issues, debug queries, and investigate discrepancies in reports or source systems
0%DD
62%
TaskTimeTypeExposure
Build and maintain data pipelines, ETL processes, and warehouse schemas to ingest data from multiple sources
27%DD
51%
Meet with stakeholders across product, finance, marketing, and operations to understand their data needs and priorities
deep expertisesocial core
21%AA
0%
Troubleshoot data quality issues, debug queries, and investigate discrepancies in reports or source systems
12%DD
62%
Analyze business data to identify trends, anomalies, and opportunities; write up findings and recommendations
some context neededsocial core
11%DD
28%
Mentor and manage junior analysts; review their work and provide feedback on analysis quality and methodology
deep expertisesocial core
9%DA
10%
Create dashboards and reports in BI tools (Tableau, Power BI, Looker) to track KPIs and business metrics
deep expertisesocial element
9%DD
28%
Present insights and recommendations to executives and leadership in meetings and executive briefings
deep expertisesocial core
8%DA
3%
TaskTimeTypeExposure
Analyze business data to identify trends, anomalies, and opportunities; write up findings and recommendations
28%DD
54%
Build and maintain data pipelines, ETL processes, and warehouse schemas to ingest data from multiple sources
25%DD
46%
Meet with stakeholders across product, finance, marketing, and operations to understand their data needs and priorities
deep expertisesocial core
22%AA
1%
Create dashboards and reports in BI tools (Tableau, Power BI, Looker) to track KPIs and business metrics
21%DD
52%
Troubleshoot data quality issues, debug queries, and investigate discrepancies in reports or source systems
1%DD
43%
Mentor and manage junior analysts; review their work and provide feedback on analysis quality and methodology
deep expertisesocial core
1%DA
12%
Present insights and recommendations to executives and leadership in meetings and executive briefings
deep expertisesocial core
1%DA
2%
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AI tools for this role
Tools relevant to the most automatable tasks in this profession.
