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PayCrunch AI Playbook · Finance

The corporate finance analyst who measures their own work

$239,700top of the range in South Dakota · middle $102,740 / yr
AI augments this role

Corporate Finance Analysts in the United States earn a median of $102,740 a year. Pay starts near $63,720. Pay reaches $239,700 at the top of the range in South Dakota, the best-paying state for this work among those with at least 500 people in the job.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Financial and Investment Analysts, SOC 13-2051). Last checked 9 September 2026.

Entry level
$63,720
Top of the range · South Dakota
$239,700
Education
Bachelor's degree in Finance
Lower disruption Higher exposure AI augments this role
Entry · $63,720 Top of range · $239,700 (South Dakota) Middle $102,740

Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Financial and Investment Analysts). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.

🆕 New & Trending AI Tools for Corporate Finance AnalystReviewed September 2026

We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Corporate Finance Analyst work right now.

NumericNEWPaid / see site

AI-driven month-end close, reconciliation, and reporting.

How a Corporate Finance Analyst uses it: automate reconciliations and close the books faster

HebbiaNEWEnterprise / see site

AI that reads and analyzes large financial documents and filings.

How a Corporate Finance Analyst uses it: pull answers out of contracts, filings, and reports in minutes

NotebookLMNEWFree / $7.99 mo

Google tool that answers questions grounded only in the documents you give it — with citations.

How a Corporate Finance Analyst uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source

MindBridgeEnterprise / see site

AI that scans transactions for anomalies, errors, and fraud risk.

How a Corporate Finance Analyst uses it: flag risky or unusual entries across the whole ledger, not just a sample

Vic.aiEnterprise / see site

Autonomous accounts-payable and invoice processing.

How a Corporate Finance Analyst uses it: let AI code and process invoices with minimal manual entry

RampFree core / paid

Finance platform with AI that automates expenses and spend controls.

How a Corporate Finance Analyst uses it: auto-categorize spend and catch policy issues in real time

Power BI Copilot$10+ mo

Microsoft analytics with AI that builds dashboards and explains trends.

How a Corporate Finance Analyst uses it: ask questions of financial data and get charts and forecasts back

ChatGPTFree / $20 mo

The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.

How a Corporate Finance Analyst uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions

ClaudeFree / $20 mo

AI assistant known for careful writing, long-document analysis, and coding.

How a Corporate Finance Analyst uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing

Last month's books already have an owner. You want the seat that says what next quarter is likely to do, and why. A corporate finance analyst works inside the company on planning, forecasting, and the story behind the numbers. The audience is the finance chief and the people who run the business. The product is a plan they can steer by. This letter is for a career changer coming from accounting, from operations, or from a reporting job that only looks backward.

The forecast, the drivers, and Monday's story

A normal month has a rhythm. Actuals arrive from the controller's team. You compare them with the forecast you published and with the annual plan. You write the variance in plain language a general manager can use: what moved, whether it will persist, and what decision it asks for. Volume, price, mix, hiring, and a capital request are the usual drivers. You are translating a ledger into a story about the operation, and the story has to be one the plant manager or the sales lead recognizes as true. If they do not recognize it, the model is a private hobby.

The bigger cycles sit on top of that month. Once a year, or on whatever cadence the company uses, you help build the operating plan: revenue the sales leaders will commit to, costs the department heads will live inside, and a picture of cash that treasury and the finance chief can believe. Through the year you refresh the forecast. A deal slips. A supplier raises a price. A hiring plan stalls. You decide which changes belong in the official outlook and which are noise. That judgment is the job. A career changer who updates every cell whenever a rumor passes will exhaust the team. One who never updates will walk the executives into a surprise.

You deal with a planning manager, with business partners in the units you support, with accounting when the actuals look wrong, and sometimes with sales operations on the pipeline. Tools are a spreadsheet you can audit and, in many companies, a planning system that stores the official version so the board deck lives somewhere the team can open. The decisions sound small and they compound. Do we reforecast the quarter. Do we tell the leadership meeting that the margin story changed. Do we send a department head back to redo a request that does not tie to a driver. You will sit in those meetings. Your credibility is the trail from the sentence in the slide to a tab someone else can open.

This seat faces inward. You are helping the company run. A market-facing analyst who covers stocks, and a banker who builds a book for a transaction, do different work for a different audience. If that is the career you wanted, this letter is about a neighboring job. If what you wanted was the story inside one company, stay here. Learn how a forecast becomes a target a manager is paid against, and treat that link with care. A sloppy outlook becomes someone else's missed number.

A long path called the CFA

Chartered Financial Analyst

The CFA Institute grants the Chartered Financial Analyst credential. It is a long path of study and of work the institute expects you to have done. Many internal planning teams hire on the forecast you can defend, with or without those letters. The credential travels when you want a finance qualification that people outside one company recognize.

You can read about the institute at cfainstitute.org. Treat the path as long, and leave the mechanics of any exam out of your interview story. What helps in the room is the habit the study builds: you can talk about financial statements, about how a business turns profit into cash, and about a decision under uncertainty, in language an operator accepts. If you are early in the career change, take the analyst seat first. Use the job to learn one company's drivers. Add the credential if you want it beside you, especially if you may later sit closer to investor communication or to a treasury conversation. Do not delay a good planning role while you wait to feel finished.

Other proof matters more for the first hire. A model with inputs someone can find, calculations someone can follow, and an output that answers a real decision. A one-page variance note. A short account of a time you changed a forecast and were right for a reason you can name, or wrong for a reason you can name. Accounting experience is excellent proof that you respect actuals. Operating experience is excellent proof that you know which driver is real. The credential, when you hold it, sits beside that proof. It rarely replaces it.

Getting hired into the planning group

Feeder roles are staff accountant, financial analyst in a smaller title, operations analyst, sales operations, and consulting or audit people who want a single company. The posting may say FP&A, corporate finance, or business partner. Read the duties. If they are the plan, the forecast, and the monthly story, you are in the right pile. If they are journal entries and reconciliations only, that is the controller's world, useful preparation and a different chair.

Interviews are practical. Walk through a model you built, slowly enough that a tired manager can see the logic. Explain a variance without blaming a department. Say how you would handle a sales leader who wants the outlook to stay rosy. Say how you check that a downloaded actual matches the ledger. Career changers from accounting should practice the forward look: what would you watch to know the quarter is slipping. Career changers from the business should practice the tie-out: show that your driver math lands on a total finance can publish. Either gap can be closed. Hiding it cannot.

Ask who you support, how many versions of the forecast exist before one is official, and whether the seat is a headquarters role or a business-unit role. Headquarters sees the whole company and less of the floor. A unit role sees one operation deeply and has to translate it upward. Both are honorable. A career changer should pick with the experience they already have. A former plant supervisor may be more credible beside a plant. A former consolidations accountant may be more credible at headquarters. Say which room you want, and why your last job belongs in it.

From analyst to the person who owns the plan

The titles usually run analyst, senior analyst, manager, director of financial planning, then a vice president of finance. Each step adds ownership of the outlook and of other analysts. The manager is the person the finance chief calls when the board meeting moved up. The director is the person who designs the planning calendar and argues for a target the business can actually hit. Some analysts cross into a business unit as the finance lead for that unit. Some move toward the controller's team if they miss the ledger. Some move toward treasury if cash became the interesting part. Investor relations is a further step in public companies, and it uses the same story you already tell internally, told to an outside audience with more care.

Stay in the first seat long enough to have lived a full planning cycle and to have been wrong in public. Being wrong, and repairing the forecast cleanly, is the experience that makes a senior title believable. Keep a private note of the calls you made. The next interview will ask for them. A career changer who leaves after a single forecast update still sounds like a visitor. A career changer who can narrate a year of the business sounds like finance.

The narrative is a craft of its own, and career changers under-practice it. A good monthly note has a headline a busy operator can repeat, a few drivers with the direction of each, and one decision requested. It leaves the appendix for people who want the tabs. It uses the same words the business uses for its products, not a private finance dialect. If you came from accounting, your risk is a note that reconciles everything and recommends nothing. If you came from operations, your risk is a story that will not tie to the ledger when the finance chief checks. Read your note aloud to someone who does the work. If they argue with the story, fix the story before you fix the prose.

Build one model you are willing to show, even before you have the title. Pick a process you know from the old job. Put the drivers in cells a stranger can label. Show how a change in one driver moves the result. Write the assumption beside the cell, in words. Then write the sentence you would say in a leadership meeting. That package is more persuasive than a certificate and more persuasive than a claim that you are "good with numbers." Bring it to the interview on a laptop you can share, and be ready for someone to change an assumption while you watch. The calm you show then is the job.

An offer against the analyst chart

When the offer says $102,740, that median comes from the Bureau series for financial and investment analysts, and you can ask the company to separate an internal planning seat from a market-facing analyst seat before you accept it. Pay starts near $63,720. South Dakota is the state attached to the high end of the published range, $239,700, one of the places where the Bureau had enough workers to publish that end. The gap from entry to the median is $39,020. The gap from the median to that South Dakota high end is $136,960.

Keep the high end and the state medians in different hands. A state median is typical pay in that state. South Dakota's $239,700 is the high end of the published range there, not a typical wage. The highest median on the chart is New York at $127,930, which sits $25,190 above the national median. Oregon's median is $120,590. Massachusetts is $111,040. California is $109,110. New Jersey is $108,610. The lowest median on the chart is Puerto Rico at $63,000. An offer in Puerto Rico belongs next to $63,000 and next to the national entry figure of $63,720. An offer in New York belongs next to $127,930. Neither offer should open by quoting the South Dakota high end as if it were the going rate.

A first analyst role, especially where you are still learning to forecast, can sit near $63,720. Once you have owned a cycle, the $39,020 step toward the $102,740 median is the step to discuss. The $25,190 between that median and New York's typical pay matters if you will actually work in New York or be paid as if you did. The $136,960 from the median up to the South Dakota high end is a long climb. It describes the far end of a broad analyst series, and it is a poor opening bid for an internal planning seat you have not held before. Say the scope: one cost center, or the company outlook. Say the city. Then ask where their number sits between the entry figure and the median that matches the place.

Ask whether a bonus exists and how it is tied to the plan you help build, so your pay follows a target you can defend. Ask who you report to. Walk them through one forecast you owned, then ask where the offer sits between the entry figure and the typical pay of the state where you will work.

If the company is small, the analyst seat may also be the person who builds the board slides and chases the actuals. If the company is large, you may own one segment and never see the whole. Neither shape is a trick. Name it in the offer conversation so the median you cite matches the scope. A segment analyst arguing from New York's $127,930 while living and working in a lower-paying state will sound like they shopped the chart. A headquarters analyst in New York who owns the company outlook and is offered the national entry figure of $63,720 has a concrete gap to discuss, the $39,020 up to the national median and the further distance to New York's typical pay. Bring the model. Then let the city and the scope pick the figure.

The top of Corporate Finance Analyst pay — and how to get there with AI

$239,700what Corporate Finance Analyst pay reaches in South Dakota

Highest state-level top-of-range annual wage for Financial and Investment Analysts, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

And the role it leads to — Financial Managers — reaches $370,780 in New York.

$63,720entry$102,740middle$239,700top end

Most analysts here are judged on whether the model shipped; the ones at the top of the range can tell you how their last twelve forecasts turned out and exactly where the misses came from.

Building the model, refreshing the deck and answering the question that arrived at five o'clock is where the week goes, and Excel Copilot, Alteryx and a reporting layer have made all three faster. In most finance teams nobody goes back to compare a forecast against what happened, and nobody owns the quality of the data feeding it. Both jobs are unglamorous and both are unclaimed. Taking them is what stops a corporate finance analyst from being interchangeable with the next one hired.

Your playbook, by where you are now

Just startingKeep a forecast diary

  1. Save every projection you publish, with its date and its assumptions, somewhere you control.
  2. Each quarter, set what you predicted against what happened and write two sentences on the largest miss.
  3. Learn Alteryx or Apache Hive well enough to pull source data yourself instead of waiting on an extract.
  4. Rebuild your most repeated workbook so it refreshes, with Microsoft Excel drawing from Microsoft Access or the accounting system rather than from rekeyed figures.
  5. Let Excel Copilot handle formula plumbing, and spend the time it returns reading the contracts and invoices underneath the numbers.

What proves it: A dated forecast log containing your own error analysis.

Realistic span: the opening eighteen months

A few years inFix the inputs before the model

  1. Trace one recurring figure back to where a person first types it, and list every place it can go wrong on the way.
  2. Put a short set of data quality checks in front of the reporting, so a bad input is caught before it reaches a deck.
  3. Publish an accuracy note beside the plan, saying which lines have historically held up and which have not.
  4. Use IBM SPSS Statistics or a business intelligence tool to test whether a driver you assume actually explains the outcome.
  5. Ask Claude to argue the opposite case against your assumption list, then chase down the objections you cannot dismiss.

What proves it: A quality check that stopped a wrong number reaching a decision.

Realistic span: years two through six

ExperiencedOwn the number the board argues about

  1. Take the forecast the business is held to, not only the analysis supporting it.
  2. Present a range and the confidence behind it rather than one figure, and defend both.
  3. Set the standard for how models are built and reviewed across the team, then review them yourself.
  4. Move toward financial management, the usual step up here; Wyoming pays this occupation the most, and remote and contract arrangements make that easier to act on than it once was.

What proves it: A forecast the organisation plans against, with a published accuracy record behind it.

Realistic span: from year seven

The next 90 days

In the next ninety days, start a forecast diary and finish one data trace. The diary is simple: every projection you issue goes into one file with its date, its assumptions and the number. The trace is harder. Take the figure that appears most often in your reporting and follow it backwards to the moment a human first entered it, writing down every step where it could be keyed wrong, transformed wrong or timed wrong, then put a single check in that path. Neither piece of work will be requested. Both are what turn an analyst into the person whose numbers other people stop re-checking.

Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.

Careers related to Corporate Finance Analyst

Similar pay, same field

Where this can lead

Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.

Never used AI before? Start here (2 minutes).

Turn on Copilot in Excel first - the spreadsheet is where your day lives. If your company licenses Microsoft 365 Copilot, use it to write and audit formulas, build pivots, explain a model you inherited, and draft the first pass of variance analysis. Where you don't have enterprise Copilot, use ChatGPT or Claude to write formulas, Power Query steps, and VBA from a plain-English description - with dummy numbers, never real financials.

For research and communication, use Perplexity for market, comp, and industry data with citations, and Claude or ChatGPT to turn a variance table into an executive narrative. Keep confidential figures inside approved, enterprise-grade tools; use general AI for methods, structure, and anonymized examples only.

The one rule, forever: Guard material non-public information and never use company financials for personal trading - that's insider trading. Verify every number an AI produces before it reaches a board deck; a hallucinated figure in an executive report is a career-level mistake. Keep confidential forecasts and results out of consumer AI tools - use your company's enterprise-licensed Copilot or approved platforms - and remember the model informs the decision, but a human owns it.
The plays — exact steps, exact prompts

Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.

1
Build and audit models at Copilot speed
Why this pays: Modeling speed and accuracy are the core of the job. An AI assistant that writes formulas, builds the structure, and catches your errors lets you deliver more models and turn them faster - the reliability that gets you the high-visibility analyses and the promotion.
Microsoft 365 Copilot (Excel)ChatGPTExcel
1
Use Copilot in Excel to write complex formulas, build the pivot and lookup structure, and explain any workbook you inherit - describing what you want in plain English instead of hand-building it.
2
Have AI generate the formula logic from your description.
Copy-paste this prompt
Act as an FP&A modeling expert. I need an Excel formula that [e.g., allocates a monthly budget across weeks by working days, or returns a 3-month rolling average that ignores blanks]. Give me the formula, explain each part, and tell me the two most common ways it breaks so I can add error handling. Use placeholder cell references.
Test the formula on a range where you already know the answer before trusting it in a live model.
3
Ask Copilot to stress-test a finished model - checking for broken links, hardcoded numbers in formula cells, and sign errors - the review that keeps a mistake out of the board deck.
What you'll haveFaster, cleaner models with fewer errors - the accuracy and turnaround that earn the high-visibility work behind pay at the top of the range.
2
Automate the monthly close and variance analysis
Why this pays: The recurring close and variance grind eats the days you could spend on analysis. Automating the data prep and the first-draft commentary frees you for the interpretation leadership actually values - the shift from reporter to advisor that raises your pay.
Power QueryMicrosoft 365 CopilotClaude
1
Rebuild your monthly data assembly in Power Query (with Copilot or ChatGPT writing the transformation steps) so refreshing the report is one click instead of a day of copy-paste.
2
Draft variance commentary from your own numbers, then sharpen it.
Copy-paste this prompt
You are an FP&A analyst writing variance commentary for a management report. For each line, explain the budget-vs-actual variance in one crisp sentence a busy executive will read, leading with the driver and its dollar impact. Here are the variances and what I know about the drivers: [paste anonymized variances and notes].
Draft only - you must confirm each driver is real; AI will invent a plausible-sounding reason if you let it. Keep confidential figures in approved tools.
3
Reinvest the reclaimed hours into forward-looking analysis (what the variance means for the forecast) - the work that gets an analyst noticed by the CFO.
What you'll haveA close that runs itself and commentary drafted in minutes - hours redirected to the analysis that turns an analyst into a trusted advisor.
3
Forecast and scenario-plan with AI FP&A platforms
Why this pays: Fast, credible scenario planning is what leadership needs most in an uncertain year. An analyst who can spin up driver-based forecasts and 'what-ifs' in a modern platform becomes the go-to for strategic decisions - the highest-value FP&A work.
PigmentDatarailsAnaplan
1
Learn a modern FP&A platform your company uses or could adopt - Pigment, Datarails, or Anaplan - to build driver-based models and run scenarios far faster than a spreadsheet allows.
2
Design the scenarios before you build them.
Copy-paste this prompt
Act as a strategic finance partner. Help me design a scenario analysis for [a SaaS company's annual plan]: list the three to five key drivers to flex (e.g., new-logo growth, churn, hiring pace, price), sensible base / upside / downside ranges for each, and the two output metrics leadership will care about most. Explain why each driver matters. General framework only.
Use to structure the analysis; plug in your own real numbers inside the approved platform, and pressure-test the ranges with the business owners.
3
Present the scenarios as a clear decision - here's the range, here's what drives it, here's the recommendation - so leadership can act, not just look.
What you'll haveCredible forecasts and scenarios delivered fast - the strategic capability that makes an analyst the CFO's go-to and lifts pay toward $239,700.
4
Turn numbers into an executive narrative and deck
Why this pays: Analysts get promoted when leaders trust their judgment, and judgment is communicated in the memo and the deck, not the model. AI that drafts the story - so you can perfect the interpretation - gets your work seen at the top of the house.
ClaudeMicrosoft 365 Copilot (PowerPoint)ChatGPT
1
Draft the executive summary from your own sanitized findings.
Copy-paste this prompt
You are writing to a CFO. Turn these findings into a half-page summary: lead with the recommendation and the number, give the two or three drivers behind it, and state the one risk to watch. Make it skimmable. [paste anonymized findings]
Draft only - verify every figure against your model, and keep confidential data in enterprise tools.
2
Use Copilot in PowerPoint to convert the summary into a clean board slide, then rewrite the takeaway line yourself so the judgment is unmistakably yours.
What you'll haveClear, executive-ready narratives that get your analysis acted on - the visibility that turns strong modeling into promotions and raises.
5
Research markets, comps, and benchmarks fast
Why this pays: Better context - the right comps, the industry benchmark, the competitor's move - makes your analysis smarter and your recommendations more credible. Fast, cited research is what separates an analyst who reports from one who advises.
PerplexityAlphaSenseChatGPT
1
Use Perplexity to pull market sizes, competitor metrics, and industry benchmarks with citations, then verify each figure at the primary source before using it.
2
Extract signal from filings and transcripts quickly.
Copy-paste this prompt
Act as an equity analyst. From this earnings-call transcript, summarize what management said about [gross margin / demand / pricing], quote the exact language, and flag any change in tone or guidance versus what a reader would have expected. [paste public transcript]
Use only public information - never material non-public information - and confirm quotes against the source transcript.
3
Fold the benchmark into your model as an explicit comparison so leadership sees how the company stacks up - context is what makes a recommendation persuasive.
What you'll haveWell-sourced market context delivered fast - the credibility that turns an analyst's recommendations into decisions leadership trusts.
Your 12-month sequence to the top of the range

How the plays above stack into a path from median pay toward the $239,700 tier.

Month 1
Turn on Copilot in Excel (or use ChatGPT for formulas with dummy data) to speed and audit your models, and start drafting variance commentary with AI - verifying every driver.
Months 2-3
Automate your monthly close data prep in Power Query and redirect the reclaimed hours to forward-looking analysis leadership will notice.
Months 3-6
Learn a modern FP&A platform (Pigment, Datarails, or Anaplan) and build driver-based scenario models; add a Perplexity and AlphaSense research workflow.
Months 6-12
Make your judgment visible - deliver AI-drafted, self-finished executive narratives and become the analyst leadership calls for the strategic decisions.
Gear for this job

As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.

CFA Institute 2026 CFA Program Curriculum Level I Box Set

Same live Wiley/CFA Institute 2026 Level I box set already on financial-analyst / investment-analyst / pension-fund-manager / credit-analyst. This page sources CFA Institute beside AFP and OEWS 13-2051 (Financial and Investment Analysts). Not leftover 94 CFP (that is financial-planner / financial-advisor) and not Level II or Level III.

Next steps for a Corporate Finance Analyst

Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.

Corporate Finance Analyst work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Financial and Investment Analysts (SOC 13-2051). O*NET Job Zone 4 is typical: a bachelor's degree, so the honest next credential is a professional certificate or bachelor's-level coursework — not a random catalog dump.

Corporate Finance Analysts in this dataset list Alteryx software among the tools in use, so a program that names that stack is a better fit than a survey course.

The next title this dataset points at is Financial Managers; a credential aimed that way is a clearer step than another year in the same seat.

Accounting And Finance programs on Coursera for Corporate Finance Analyst work

Coursera search for accounting and finance — a professional certificate or bachelor's-level coursework that lines up with business and finance, not a generic professional-development aisle.

Accounting And Finance courses on edX

edX search for accounting and finance, aimed at business and finance (SOC 13-2051). Same field as the Coursera link, different university catalog.

Screened remote and flexible Corporate Finance Analyst listings on FlexJobs

FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Corporate Finance Analyst work, not a claim that they list a counted SOC 13-2051 inventory.

Build a Corporate Finance Analyst resume on Resume Now

Write a Corporate Finance Analyst resume, or one aimed at Financial Managers, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.

Build a Corporate Finance Analyst resume on Zety

A Corporate Finance Analyst resume that names the actual tasks on this page, or the step-up title Financial Managers, beats a blank template when you apply.

What Corporate Finance Analysts earn by state

These are the Bureau of Labor Statistics’ own figures for Financial and Investment Analysts, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.

New York
$127,930
highest of them · +25% vs the national median
Puerto Rico
$63,000
lowest of the 44 states and territories that qualify · -39% vs the national median
The same job pays $64,930 more a year at the median in New York than in Puerto Rico — 103% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. The top-of-range figure quoted at the head of this page, $239,700, is a different statistic in a different place: it is the 90th-percentile wage in South Dakota. The state that pays the typical worker most and the state where the best-paid go highest are not always the same one.
New York$127,930Oregon$120,590Massachusetts$111,040California$109,110New Jersey$108,610Washington$107,210District of Columbia$105,780Virginia$105,490

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 13-2051. 44 states and territories clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.

Free data. Use any of it.

PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.

Frequently asked
Will AI replace corporate finance analysts?
No, but it will replace analysts who only assemble reports. AI builds models and drafts commentary; it cannot own an assumption, read the business context, or stand behind a recommendation to the CFO. Analysts who use AI to automate the plumbing and spend their time business-partnering pull ahead; those who guard manual reporting fall behind.
Is it safe to put company financials into ChatGPT?
Not into consumer AI. Confidential forecasts and results belong in your company's enterprise-licensed Copilot or approved platforms. Use general tools for methods, formulas, structure, and anonymized examples - and never touch material non-public information for anything but your job.
Can I trust AI-drafted variance commentary or figures?
Only as a draft. AI will invent a plausible-sounding reason for a variance and produce confident but wrong numbers. Verify every figure against your model and confirm every driver with the business before it reaches a management or board report - the mistake is yours, not the tool's.
Which AI skill gives an FP&A analyst the biggest edge?
Automating the recurring close and reporting so you can spend your time on forward-looking analysis. That shift - from reporter to advisor - is exactly what gets an analyst promoted and paid toward the top of the band.
Do I still need Excel and financial fundamentals if AI does the modeling?
Yes - they're what let you catch the AI's mistakes and own the answer. AI accelerates a strong modeler and exposes a weak one. Deep fluency in the mechanics and the business is exactly what makes your judgment - the part AI can't replace - trustworthy.
Methodology & sources
  • Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
  • By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
  • The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.

Sources