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AI Risk Comparison

Data Scientists vs Business Intelligence Analysts

Compare AI replacement risk, automatable work, resilient skills, and potential career pivots for both occupations.

Safer role
Data Scientists
Higher risk
Business Intelligence Analysts
Risk gap
54 points
TechnologyO*NET: 15-2051.00

Data Scientists

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

AI Risk Score

8/100
Very Low

Lower risk: the role depends more on human judgment and context.

Automation factors

  • Provide data-driven insights and recommendations

Top skills

Recommended career pivots

TechnologyO*NET: 15-2051.01

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.

AI Risk Score

62/100
High

Moderate risk: AI can reshape important parts of the role.

Automation factors

  • Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
  • Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
  • Manage timely flow of business intelligence information to users.
  • Analyzing Data or Information
  • Working with Computers

Top skills

Reading Comprehension4.00/5
Active Listening3.88/5
Speaking3.88/5
Critical Thinking3.88/5
Active Learning3.88/5

Recommended career pivots

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