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Technology & Data · Updated Aug 2026

Business Intelligence Analysts

Produce financial and market intelligence by querying data repositories and generating periodic reports. Devise methods for identifying data patterns and trends in available information sources.

JVS 2.0.0-phase4b
AI Exposure
74/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
73/100
High

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence82/100
Task coverage85%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Manage timely flow of business intelligence information to users.High
79
Maintain or update business intelligence tools, databases, dashboards, systems, or methods.High
75
Provide technical support for existing reports, dashboards, or other tools.Medium
80
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.High
53
Identify and analyze industry or geographic trends with business strategy implications.Medium
81
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.Medium
81
Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.Medium
77
Disseminate information regarding tools, reports, or metadata enhancements.Medium
81
Document specifications for business intelligence or information technology reports, dashboards, or other outputs.Medium
80
Synthesize current business intelligence or trend data to support recommendations for action.Medium
80
Conduct or coordinate tests to ensure that intelligence is consistent with defined needs.Medium
79
Communicate with customers, competitors, suppliers, professional organizations, or others to stay abreast of industry or business trends.Medium
71
Identify or monitor current and potential customers, using business intelligence tools.Medium
55
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Identify and analyze industry or geographic trends with business strategy implications.81
  2. Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.81
  3. Disseminate information regarding tools, reports, or metadata enhancements.81
  4. Provide technical support for existing reports, dashboards, or other tools.80
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.01
  2. Identify or monitor current and potential customers, using business intelligence tools.02
  3. Communicate with customers, competitors, suppliers, professional organizations, or others to stay abreast of industry or business trends.03
  4. Maintain or update business intelligence tools, databases, dashboards, systems, or methods.04
  5. Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency48
Physical dependency16
Adoption pressure66
Labour-market resilience44
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence82/100
CalculatedAug 21, 2026
Read methodology →