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AI Risk Comparison

Statisticians vs Business Intelligence Analysts

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

Safer role
Business Intelligence Analysts
Higher risk
Statisticians
Risk gap
5 points
TechnologyO*NET: 15-2041.00

Statisticians

Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.

AI Risk Score

67/100
High

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

Automation factors

  • Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
  • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
  • Report results of statistical analyses, including information in the form of graphs, charts, and tables.
  • Analyzing Data or Information
  • Working with Computers

Top skills

Mathematics4.88/5
Reading Comprehension4.00/5
Critical Thinking4.00/5
Active Listening3.88/5
Speaking3.88/5

Recommended career pivots

Data Scientists8/100Biostatisticians58/100Clinical Data Managers63/100Mathematicians48/100Bioinformatics Scientists41/100
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

Data Scientists8/100Computer Systems Analysts44/100Market Research Analysts and Marketing Specialists47/100Statistical Assistants93/100Marketing Managers29/100

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