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How a credit analyst can use AI, task by task

O*NET 13-2041.00: Credit AnalystsMedian pay $83,510/year (BLS, May 2025)11 tasksJob Zone 4: Considerable preparation

Analyze credit data and financial statements of individuals or firms to determine the degree of risk involved in extending credit or lending money. Prepare reports with credit information for use in decisionmaking.

Type your own title and every prompt on this page updates to match. Also called: Credit Administrator, Credit Analyst, Credit and Collections Analyst, Credit Officer, Credit Representative, Credit Risk Analyst, Municipal Fixed Income Analyst.

Where AI fits in this job

AI-ready 81%AI-assist 17%Stays human 2%

Share of the job's tasks, weighted by how important and how frequent each task is (O*NET ratings). 6 AI-ready, 4 AI-assist and 1 human-led tasks out of 11. This measures where AI can help, not whether the job will disappear.

Information & paperwork
Thinking & planning
People & communication
Leading & teaching
Hands-on & physical

Shape of the job: importance of each kind of work activity (O*NET, 1 to 5).

💪 Lean into these

Core tasks that stay human. These skills get more valuable as the routine work gets automated.

  1. Contact customers to collect payments on delinquent accounts.Hands-on work · A few times a year

🔒 Many of these tasks involve people's information. Remove names and identifying details before using AI, or use only a tool your employer has approved.

AI can draft these 6

AI produces a usable first pass. You review it, fix it and own it.

Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money.

Several times a day

AI finds trends and writes the spreadsheet formulas.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 61% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a credit analyst. Part of my job is to analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money.

Context: We use Oracle Business Intelligence Enterprise Edition and SAS; the work draws on economics and accounting, mathematics and law and government.
Question: [price reasonableness, cost trends, profitability]
Data: [paste proposals, reports, history]

Analyze, compare to benchmarks and give a recommendation. Show formulas. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Business data analysis

Step 1Pick a real example: the next time you analyze credit data and financial statements.
Step 2Fill in [Question] and [Data] with the real details, then run the prompt.
Step 3Use it in your next negotiation or estimate. Recompute every total yourself.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 4.9/5 · core task · O*NET work activity: Analyze business or financial data.. Also involves: Assess risks to business operations..

Generate financial ratios, using computer programs, to evaluate customers' financial status.

Several times a day

AI finds trends and writes the spreadsheet formulas.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a credit analyst. Part of my job is to generate financial ratios, using computer programs, to evaluate customers' financial status.

Context: We use Oracle Business Intelligence Enterprise Edition and SAS; the work draws on economics and accounting, mathematics and law and government.
Task: [orders, coverage, quantities]
Data: [paste]

Calculate with formulas. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Operational calculations

Step 1Pick a real example: the next time you generate financial ratios. Leave out names and identifying details.
Step 2Fill in [Task] and [Data] with the real details, then run the prompt.
Step 3Recompute the most important number yourself before you trust the rest. Recompute every total yourself.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 4.5/5 · core task · O*NET work activity: Calculate data to inform organizational operations..

Prepare reports that include the degree of risk involved in extending credit or lending money.

Daily

AI writes the first draft from your notes; you check every fact.

Show prompt & steps

Give AI your rough notes, numbers or last version and it will turn them into a clean, well-structured first draft. You check every fact and figure before it goes anywhere.

Ready-to-use prompt

I work as a credit analyst. Part of my job is to prepare reports that include the degree of risk involved in extending credit or lending money.

Context: We use Microsoft Word.
Report: [budget, expense, financial summary]
Figures and context: [paste numbers, notes]
Audience: [board, manager, regulator]

Draft the report with a summary, tables, variances explained and next steps. Use plain language and headings where they help, and mark anything you had to guess with [CHECK].

10-minute exercise: Financial or budget report

Step 1Pick a real example: the next time you prepare reports (today).
Step 2Fill in [Report], [Figures and context] and [Audience] with the real details, then run the prompt.
Step 3Recompute every total and check each variance explanation against the books. Recompute every total yourself.

AI will happily make up numbers, names and dates. Every fact in the draft needs checking against your source.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 4.5/5 · core task · O*NET work activity: Prepare financial documents, reports, or budgets..

Analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans.

Daily

AI finds trends and writes the spreadsheet formulas.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a credit analyst. Part of my job is to analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans.

Context: We use Oracle Business Intelligence Enterprise Edition and SAS; the work draws on economics and accounting, mathematics and law and government.
Question: [price reasonableness, cost trends, profitability]
Data: [paste proposals, reports, history]

Analyze, compare to benchmarks and give a recommendation. Show formulas. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Business data analysis

Step 1Pick a real example: the next time you analyze financial data (today).
Step 2Fill in [Question] and [Data] with the real details, then run the prompt.
Step 3Use it in your next negotiation or estimate. Recompute every total yourself.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 4.5/5 · core task · O*NET work activity: Analyze business or financial data..

Complete loan applications, including credit analyses and summaries of loan requests, and submit to loan committees for approval.

Daily

AI writes the first draft from your notes; you check every fact.

Show prompt & steps

Give AI your rough notes, numbers or last version and it will turn them into a clean, well-structured first draft. You check every fact and figure before it goes anywhere.

Ready-to-use prompt

I work as a credit analyst. Part of my job is to complete loan applications, including credit analyses and summaries of loan requests, and submit to loan committees for approval.

Context: We use Microsoft Word.
Document: [insurance form, loan application, estimate]
Data: [paste figures, details]

Fill the document structure and summarize the request. Use plain language and headings where they help, and mark anything you had to guess with [CHECK].

10-minute exercise: Transaction document

Step 1Pick a real example: the next time you complete loan applications (today).
Step 2Fill in [Document] and [Data] with the real details, then run the prompt.
Step 3Check every fact, name and number against your source before it goes anywhere. Recompute every total yourself.

AI will happily make up numbers, names and dates. Every fact in the draft needs checking against your source.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 4.8/5 · core task · O*NET work activity: Prepare contracts or other transaction documents..

Compare liquidity, profitability, and credit histories of establishments being evaluated with those of similar establishments in the same industries and geographic locations.

Daily

AI finds trends and writes the spreadsheet formulas.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 51% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a credit analyst. Part of my job is to compare liquidity, profitability, and credit histories of establishments being evaluated with those of similar establishments in the same industries and geographic locations.

Context: We use Oracle Business Intelligence Enterprise Edition and SAS; the work draws on economics and accounting, mathematics and law and government.
Market: [describe]
Data: [sales, competitors, prices]

Analyze trends and opportunities. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Market analysis

Step 1Pick a real example: the next time you compare liquidity, profitability and credit histories of establishments being (today).
Step 2Fill in [Market] and [Data] with the real details, then run the prompt.
Step 3Recompute the most important number yourself before you trust the rest. Recompute every total yourself.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 4.2/5 · core task · O*NET work activity: Analyze market conditions or trends..

AI can help you prep these 4

AI speeds up the prep, drafting or thinking. The core of the task is still yours.

Evaluate customer records and recommend payment plans, based on earnings, savings data, payment history, and purchase activity.

Weekly

AI does the arithmetic and suggests what to look at; the conclusions are yours.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 48% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

AI can do the arithmetic, build the spreadsheet formula and suggest what to look at. Deciding what the numbers mean for your situation is still you.

Ready-to-use prompt

I work as a credit analyst. Part of my job is to evaluate customer records and recommend payment plans, based on earnings, savings data, payment history, and purchase activity.

Context: We use Oracle Business Intelligence Enterprise Edition and SAS; the work draws on economics and accounting, mathematics and law and government.
Client situation: [no names]
Figures: [income, expenses, debts, assets]

Summarize financial health, ratios, and options. Show formulas. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Client financial snapshot

Step 1Pick a real example: the next time you evaluate customer records (this week). Leave out names and identifying details.
Step 2Fill in [Client situation] and [Figures] with the real details, then run the prompt.
Step 3Recompute the most important number yourself before you trust the rest. Recompute every total yourself.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 3.7/5 · O*NET work activity: Assess financial status of clients.. Also involves: Advise others on financial matters..

Consult with customers to resolve complaints and verify financial and credit transactions.

Monthly

AI builds you an answer bank; exceptions and the human touch are yours.

Show prompt & steps

Build a personal answer bank with AI for the questions you get every day. In the moment, the human touch and the judgment about exceptions are yours.

Ready-to-use prompt

I work as a credit analyst. Part of my job is to consult with customers to resolve complaints and verify financial and credit transactions.

Context: We use Experian Credinomics and Moody's KMV CreditEdge; the work draws on economics and accounting, mathematics and law and government.
Inquiries: [paste examples, no personal data]
Facts: [policies]

Draft reply templates. Keep answers to 2-3 sentences and flag any that depend on the situation.

10-minute exercise: Written responses

Step 1Pick a real example: the next time you consult with customers. Leave out names and identifying details.
Step 2Fill in [Inquiries] and [Facts] with the real details, then run the prompt.
Step 3Save the answers you'd actually use and tweak each one the first time you send it.

Don't paste customers' personal details into AI tools. Describe the situation instead.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 3.1/5 · core task · O*NET work activity: Correspond with customers to answer questions or resolve complaints..

Review individual or commercial customer files to identify and select delinquent accounts for collection.

Monthly

AI pre-checks against the rules; the sign-off stays with you.

Show prompt & steps

Use AI as a first-pass checker against a list of rules or standards. The final judgment and sign-off stay with you.

Ready-to-use prompt

I work as a credit analyst. Part of my job is to review individual or commercial customer files to identify and select delinquent accounts for collection.

Context: We use SAS and Experian Credinomics; the work draws on economics and accounting, mathematics and law and government.
Records: [paste bills, statements]
Purpose: [cost control, research, review]

Flag unusual items and questions. Make a table: requirement, met / not met / unclear, and the exact evidence.

10-minute exercise: Financial records review

Step 1Pick a real example: the next time you review individual or commercial customer files. Leave out names and identifying details.
Step 2Fill in [Records] and [Purpose] with the real details, then run the prompt.
Step 3Do your usual review too, and note what AI caught and what it missed. Recompute every total yourself.

AI can miss things and sound sure about it. Use it to catch extra problems, not as the final check.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 3.3/5 · O*NET work activity: Examine financial records..

Confer with credit association and other business representatives to exchange credit information.

Monthly

AI drafts clear messages and talking points.

Show prompt & steps

AI can draft updates, emails and talking points so your message is clear and complete. Relationships and real-time calls are yours.

Ready-to-use prompt

I work as a credit analyst. Part of my job is to confer with credit association and other business representatives to exchange credit information.

Context: We use Experian Credinomics and Moody's KMV CreditEdge.
Topic: [claims, cost changes]
Who: [brokers, contractors]

Draft talking points with numbers. Keep it under 150 words with a clear ask, plus a 2-sentence version for chat.

10-minute exercise: Financial discussion

Step 1Pick a real example: the next time you confer with credit association and other business representatives.
Step 2Fill in [Topic] and [Who] with the real details, then run the prompt.
Step 3Edit it until it sounds like you, then send it yourself.

Never let AI send messages for you. Read every word, because tone mistakes cost trust.

Double-check every number. AI can make arithmetic and rounding mistakes.

Importance 3.1/5 · O*NET work activity: Confer with others about financial matters..

These stay human 1

They need your hands, your presence or your accountable judgment. Lean into them: they get more valuable as routine work is automated.

📏 Measured in this job (O*NET work context): Face-to-face discussions: every day · Contact with others: contact with others most of the time · Frequency of decisions: once a week or more but not every day

Contact customers to collect payments on delinquent accounts.

A few times a year

Physical, in-person work. AI helps with checklists and write-ups.

Show prep prompt & steps

Where AI still helps: AI helps around the job: decoding manuals and instructions, pre-job checklists, calculations and writing up what you did afterward.

Prep prompt

I work as a credit analyst. Part of my job is to contact customers to collect payments on delinquent accounts.

Context: The work draws on economics and accounting, mathematics and law and government.
Payments: [cash, checks]
Rules: [deposits]

List handling and deposit steps. Include the tools, materials and safety steps, the measurements or settings to double-check, and a 3-line template for logging the job. Flag anything to confirm in the manufacturer's manual.

10-minute exercise: Payment handling

Step 1Pick a real example: the next time you contact customers. Leave out names and identifying details.
Step 2Fill in [Payments] and [Rules] with the real details, then run the prompt.
Step 3Check it against the manufacturer's manual and your site rules, and add the steps only experience teaches.

Importance 4.0/5 · O*NET work activity: Collect payments for goods or services..

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Your next moves

Skills to build

From O*NET's ratings of how important each skill is in this job, matched to which part of the work it supports.

Stays human Deepen these

They power the human-led work, which is the part of the job AI can't take over.

  • Judgment and Decision Makingimportance 3.1/5
    Used in: Monitoring and Controlling Resources
  • Complex Problem Solvingimportance 3.0/5
    Used in: Monitoring and Controlling Resources

With AI Use these to work with AI

When AI does the first draft, these are the skills you use to brief it and check what comes back.

  • Critical Thinkingimportance 3.9/5
    Used in: Analyzing Data or Information
  • Reading Comprehensionimportance 3.6/5
    Used in: Analyzing Data or Information
  • Writingimportance 3.1/5
    Used in: Documenting/Recording Information
  • Monitoringimportance 3.0/5
    Used in: Judging the Qualities of Objects, Services, or People

Where you could move

Related jobs from O*NET with the closest skill profile, favouring ones where more of the work stays human. No step down in preparation.

  • Insurance Underwriters36% human-led · Same preparation · $81,370/yr · usually bachelor's degreeYour skills already line up
  • Budget Analysts4% human-led · Same preparation · $91,640/yr · usually bachelor's degreeSkills to build: Management of Financial Resources, Systems Analysis, Complex Problem Solving
  • Actuaries4% human-led · Same preparation · $130,000/yrSkills to build: Complex Problem Solving, Systems Analysis, Systems Evaluation
  • Treasurers and Controllers31% human-led · Same preparation · $166,570/yrSkills to build: Management of Financial Resources, Management of Personnel Resources, Monitoring

Getting into this job

Bachelor's degree is most common (95% of workers)

  • Bachelor's 95%
  • Graduate degree 5%
  • On-the-job training: 1–3 months
  • Related experience: 1–2 years

What workers in this job report, from O*NET surveys (typical values).

Software in this job

In-demand tools from O*NET. Many now have AI built in, so check what yours can do before adding a new tool.

Microsoft ExcelMicrosoft Office softwareMicrosoft OutlookMicrosoft PowerPointMicrosoft SQL ServerMicrosoft Visual BasicMicrosoft Visual Basic for Applications VBAMicrosoft WordPythonSAP softwareSASStructured query language SQL