Analyze business or financial data.

Analyze business or financial data. is a detailed work activity in O*NET — a concrete unit of work shared across 14 occupations and seen in 26 occupation-specific tasks. It rolls up into the broader work activity Analyze business or financial data. in Analyzing Data or Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 26 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 26 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 8 of these tasks, with a mean mapped-usage share of 0.019% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money. · Credit Analysts · importance 4.9 · exposure with tools
• Analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans. · Credit Analysts · importance 4.5 · exposure with tools
• Analyze data gathered and develop solutions or alternative methods of proceeding. · Management Analysts · importance 4.5 · exposure with tools
• Prepare, examine, or analyze accounting records, financial statements, or other financial reports to assess accuracy, completeness, and conformance to reporting and procedural standards. · Accountants and Auditors · importance 4.2 · exposure with tools
• Analyze price proposals, financial reports, and other data and information to determine reasonable prices. · Purchasing Agents, Except Wholesale, Retail, and Farm Products · importance 4.2 · exposure with tools
• Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures. · Fraud Examiners, Investigators and Analysts · importance 4.2 · exposure with tools
• Collect historical cost data to estimate costs for current or future products. · Cost Estimators · importance 4.2 · exposure with tools
• Interpret results of financial analysis procedures. · Financial Quantitative Analysts · importance 4.1 · exposure with tools
• Evaluate business operations to identify risk areas for fraud. · Fraud Examiners, Investigators and Analysts · importance 4.1 · exposure with tools
• Analyze business operations, trends, costs, revenues, financial commitments, and obligations to project future revenues and expenses or to provide advice. · Accountants and Auditors · importance 4.0 · exposure with tools
• Perform multifactor data and cost analyses that may be used in areas such as support of collective bargaining agreements. · Compensation, Benefits, and Job Analysis Specialists · importance 3.8 · exposure with tools
• Perform cost-benefit analyses to compare operating programs, review financial requests, or explore alternative financing methods. · Budget Analysts · importance 3.7 · exposure with tools
• Evaluate costs and revenue of agreements to determine continued profitability. · Securities, Commodities, and Financial Services Sales Agents · importance 3.6 · exposure with tools
• Analyze corporate intelligence data to identify trends, patterns, or warnings indicating threats to security of people, assets, information, or infrastructure. · Business Continuity Planners · importance 3.6 · exposure with tools
• Measure and analyze Web site usage data to maximize search engine returns or refine customer interfaces. · Online Merchants · importance 3.6 · exposure with tools
• Conduct special studies to develop and establish standard hour and related cost data or to reduce cost. · Cost Estimators · importance 3.5 · exposure with tools
• Match appropriations for specific programs with appropriations for broader programs, including items for emergency funds. · Budget Analysts · importance 3.5 · exposure with tools
• Perform system lifecycle cost analysis and develop component studies. · Logisticians · importance 3.4 · exposure with tools
• Analyze financial or operational performance of companies facing financial difficulties to identify or recommend remedies. · Financial and Investment Analysts · exposure with tools
• Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use. · Data Scientists · direct LLM exposure
• Conduct financial analyses related to investments in green construction or green retrofitting projects. · Financial and Investment Analysts · exposure with tools
• Identify key risks and mitigating factors of potential investments, such as asset types and values, legal and ownership structures, professional reputations, customer bases, or industry segments. · Financial Risk Specialists · exposure with tools
• Inform financial decisions by analyzing financial information to forecast business, industry, or economic conditions. · Financial Risk Specialists · exposure with tools
• Inform investment decisions by analyzing financial information to forecast business, industry, or economic conditions. · Financial and Investment Analysts · exposure with tools
• Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs. · Financial and Investment Analysts · exposure with tools
• Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs. · Financial Risk Specialists · exposure with tools

Occupations that perform this

• Credit Analysts
• Management Analysts
• Accountants and Auditors
• Purchasing Agents, Except Wholesale, Retail, and Farm Products
• Cost Estimators
• Fraud Examiners, Investigators and Analysts
• Compensation, Benefits, and Job Analysis Specialists
• Budget Analysts
• Securities, Commodities, and Financial Services Sales Agents
• Business Continuity Planners
• Logisticians
• Financial and Investment Analysts
• Financial Risk Specialists
• Data Scientists

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-analyze-business-or-financial-data,
  title  = {Analyze business or financial data.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/analyze-business-or-financial-data}
}