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Singulariki

Analyze business or financial data

Work activity · O*NET

Analyze business or financial data is an intermediate work activity in the O*NET database — a concrete task that recurs across many occupations , grouped under Analyzing Data or Information. 34 occupations report doing it as part of their work.

What it involves

The most common detailed activities O*NET records under this category, ranked by how many occupation tasks map to each.

  • Analyze business or financial data
  • Apply mathematical models of financial or business conditions
  • Analyze financial information
  • Analyze financial records to improve efficiency
  • Analyze budgetary or accounting data
  • Analyze financial records to improve budgeting or planning
  • Analyze financial records or reports to determine state of operations

How AI is applied to this activity

Microsoft's "Working with AI" study mapped real Bing Copilot conversations to O*NET work activities. The figures below are their measurements for this activity — they describe how AI is used today in one assistant's data, not a forecast that the activity will be automated.

AI completes it successfully 82.3% When Copilot attempts this activity, how often it finishes the task
Scope AI handles 39.2% How much of the activity AI carries within a conversation
Positive user feedback 58.4% Share of interactions users rated positively
How often AI is applied here 68th pct Percentile across all measured activities by how often AI performs them

Source: Microsoft "Working with AI" (working-with-ai). A high completion rate means AI can assist the activity in isolation — it does not mean an occupation that performs it is being automated, since every job blends many activities.

Detailed work activities

The more granular units of work O*NET groups under this activity, ordered by how many occupations perform them.

Occupations that perform this activity

Ranked by how many of the occupation's tasks map to this activity.

Occupation Tasks
Financial and Investment Analysts 6
Budget Analysts 5
Financial Managers 5
Financial Quantitative Analysts 5
Financial Risk Specialists 5
Accountants and Auditors 4
Business Continuity Planners 3
Transportation, Storage, and Distribution Managers 3
Cost Estimators 2
Credit Analysts 2
Credit Authorizers, Checkers, and Clerks 2
Fraud Examiners, Investigators and Analysts 2
Logistics Engineers 2
Property, Real Estate, and Community Association Managers 2
Treasurers and Controllers 2
Billing and Posting Clerks 1
Compensation, Benefits, and Job Analysis Specialists 1
Court, Municipal, and License Clerks 1
Data Scientists 1
Farmers, Ranchers, and Other Agricultural Managers 1
First-Line Supervisors of Office and Administrative Support Workers 1
Funeral Home Managers 1
General and Operations Managers 1
Logisticians 1
Logistics Analysts 1
Management Analysts 1
Online Merchants 1
Patient Representatives 1
Procurement Clerks 1
Purchasing Agents, Except Wholesale, Retail, and Farm Products 1
Sales Managers 1
Securities, Commodities, and Financial Services Sales Agents 1
Security Management Specialists 1
Security Managers 1
Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 33 occupations in occupations that perform Analyze business or financial data.. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Farmers, Ranchers, and Other Agricultural Managers Security Managers Patient Representatives Funeral Home Managers Property, Real Estate, and Community Association Managers Sales Managers Logisticians Security Management Specialists Billing and Posting Clerks Budget Analysts Data Scientists AI task-overlap percentile → ↑ Median pay
Occupations that perform Analyze business or financial data., by AI task-overlap and median pay

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.

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

Cite this page
Plain

Singulariki. "Analyze business or financial data." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Microsoft “Working with AI” working-with-ai. Accessed June 7, 2026. https://singulariki.com/activities/analyze-business-or-financial-data

APA

Singulariki. (2026). Analyze business or financial data. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/activities/analyze-business-or-financial-data

BibTeX 
@misc{singulariki-analyze-business-or-financial-data,
  title  = {Analyze business or financial data},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Microsoft “Working with AI” working-with-ai. Accessed June 7, 2026},
  url    = {https://singulariki.com/activities/analyze-business-or-financial-data}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.