The financial analyst people query instead of email
$224,750estimated top of the range · middle $96,220 / yr
AI is transforming this role
Financial Analysts in the United States earn a median of $96,220 a year. Pay starts near $59,980. The top of the range is estimated at $224,750. The Bureau of Labor Statistics does not publish a separate wage series for this exact title, so this figure is derived from the closest occupation it does track and is labelled an estimate.
Source: PayCrunch estimate. Last checked 9 September 2026.
Entry level
$59,980
Top-end estimate
$224,750
Education
Bachelor's in finance, economics, or accounting
Wages — PayCrunch estimate. The Bureau of Labor Statistics does not publish a separate wage series for Financial Analyst; figures are derived from the closest occupation it does track and are labelled as estimates. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.
🆕 New & Trending AI Tools for Financial AnalystReviewed September 2026
We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Financial Analyst work right now.
NumericNEWPaid / see site
AI-driven month-end close, reconciliation, and reporting.
How a Financial 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 Financial 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 Financial 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 Financial 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 Financial 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 Financial 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 Financial 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 Financial 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 Financial Analyst uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing
The workbook comes first
A financial analyst spends the morning inside a workbook. Actuals against the plan. A forecast that needs a new assumption because a contract slipped. A cash view the treasurer's team will ask about later, built from the same numbers the close just locked. You trace a surprising figure back to an account, a business unit, or a timing problem before you let it into a sentence. The workbook is where you find out whether you understand the company. If a total only works because of a pasted value you cannot explain, you are not ready for the meeting. Fix the link. Label the tab. Leave a note for the person who opens the file when you are out.
Corporate seats live in this rhythm every month. The close finishes, the pack for leadership starts, and someone has to say what changed. Investment seats live in a different rhythm and the same habit. A model of a company or a credit, updated when a filing or a call changes a driver, checked so a formula error does not become a confident paragraph. In both rooms the analyst is the person who can show the work. Opinions without a workbook are cheap. A clean workbook that a colleague can audit is the craft.
Then the memo
The other half of the job is a memo a busy person can use. One page if you can manage it. What happened. Why you think it happened. What you recommend the business do, or what the portfolio manager should understand before their own decision. You write in sentences, not in a dump of charts. You name the assumption that matters most. You say what would make you change your mind. You attach the workbook and you still make the memo stand alone, because the reader will not open every tab. Corporate memos go to a finance director, a CFO, or an operating leader who has to staff a plant, price a product, or decide whether a project still earns its keep. Investment memos go to a portfolio manager or a credit committee. They inform that person's decision. They are not a hot tip, and this job is not a place to hand strangers a trade.
Good memos are specific and a little plain. "Margin in the west region fell because freight and a lost account hit the same quarter. The forecast holds if the account is replaced by October. If it is not replaced, the full-year view needs a revision before the board pack." That is an analyst sentence. "The stock looks cheap" is not. You can discuss valuation inside an investment seat, with a model, for the person who manages the portfolio, under the firm's rules. You do not freelance advice to friends, and you do not treat a career guide as a research note. The professional product is the memo plus the file behind it.
A corporate seat and an investment seat
The title "financial analyst" covers both rooms, and hiring managers care which one you mean. In a company, the seat is often financial planning and analysis. You maintain the annual plan, you run the monthly forecast, you explain variances, and you help operators see the money consequence of a decision they want to make. You sit near accounting but you are not the person who owns the close. You sit near the business but you are not the general manager. Your influence is the quality of the numbers and the clarity of the note. Some corporate analysts lean toward a single division. Some build the consolidated view. Some support corporate development, where the workbook is a deal model and the memo is whether the price and the risks belong in the same conversation.
Afternoons are where the workbook meets other people. An operator wants to know whether a headcount request survives the forecast. A credit colleague wants the cash figure before a lender call. You revise one assumption, you show the effect on the full year, and you say which other assumption you left alone on purpose. Then you update the memo so the version in the shared folder matches the version you just defended. Analysts who skip that last step create a second, quieter error: two truths in two files. The fix is dull. Save the file, date the note, and tell the person who relies on it that the number moved.
In an investment firm, a bank credit group, or an asset manager, the seat is research in the service of other people's capital. You read filings, build a model, talk with the covering senior when that is allowed, and write the note that frames risk and return without pretending you control the outcome. The firm decides what universe you cover. You follow its compliance rules about what you may say and to whom. A corporate analyst and an investment analyst can both be excellent and still be poorly matched to each other's jobs. When you apply, say which seat you have done, or which one you are prepared to learn from the bottom. Claiming both at full depth in a first role is how resumes get set aside.
The charter from CFA Institute
There is no license that turns a person into a financial analyst the way a CPA turns a person into an accountant who can sign certain work. The credential that travels farthest in investment seats, and that many corporate analysts also respect, is the CFA charter, granted by CFA Institute. The institute is the grantor. The charter shows that a candidate completed the institute's program, met its work-experience requirement, and committed to its ethics code. It proves a shared base in investment tools, financial reporting, and professional conduct. It does not prove you can write a memo your CFO will trust. That still has to show up in the job.
People prepare while they work. They study the institute's curriculum, they sit the sequence of exams the program requires, and they accumulate the kind of experience the institute counts. Employers sometimes pay for the program and sometimes simply respect it. Ask CFA Institute what the current path requires, because a summary in a job ad will skip the parts that bind you. Corporate analysts who want a credential aimed at management accounting sometimes look to the Certified Management Accountant mark from the Institute of Management Accountants instead of, or in addition to, the charter. Either mark is voluntary. A first analyst job does not wait on a charter. The charter is how you deepen the seat you already earned, or how you signal seriousness while you are earning it. Keep a model and a memo in your portfolio either way. Credentials do not attach themselves to an empty workbook.
The hiring screen, then the titles above you
Hiring managers open the resume for accounting coursework, for Excel that goes past formatting, and for an internship or a first job where you touched a forecast, a close package, or a research note. They like a degree in finance, accounting, economics, or something close. They like it more when you can talk through a model without hiding behind slides. In an interview, expect a simple case. A margin moved. Walk them from the driver to the full-year effect, and say what you would put in the memo. They are listening for whether you notice a missing assumption. They are listening for whether you leap to a dramatic conclusion the numbers do not hold. Bring one workbook you can discuss, with anything confidential stripped out. A personal project on a public company is fine if you present it as practice, not as advice anyone should trade on.
The ladder is straightforward and slow. Junior analyst or associate, then analyst, then senior analyst. On the corporate side the next step may be a manager of planning and analysis, still close to the workbook, now also responsible for other analysts' files. On the investment side the next step may be a senior coverage seat or a role beside a portfolio manager. Some people move from investment research into corporate development, or from planning and analysis into a business-unit finance partner role. The habits that get you promoted are dull and visible. Your files reconcile. Your memo arrives before the meeting. You flag a problem early. You can teach a new analyst your tab structure in an afternoon. You change your mind in writing when the evidence changes. Titles follow that record more reliably than they follow a loud market view.
Estimates, kept apart from the Bureau's analyst table
These are estimates on purpose
The Bureau of Labor Statistics does not publish a separate wage series for this exact title. The figures below are PayCrunch estimates for a corporate or investment analyst seat. Keep them separate from the Bureau's published series for financial and investment analysts. They are not that table, and they do not assign dollars to any state.
The entry estimate is $59,980. The median estimate is $96,220. The top estimate is $224,750. Entry to the median is $36,240. The median to the top estimate is $128,530. Use the first gap for the ordinary climb from a new analyst to a working one. Use the second gap only as a measure of how far the top of the estimate sits from the middle, and only when the seat is already senior. Most offer talks belong in the first gap.
A first full-time offer should be set beside $59,980. If the base is lighter than that entry estimate and the job is already a real forecast, a real monthly pack, or a real research note, ask what closes the distance to $59,980. The facts that help are concrete: an internship in the same kind of seat, a model you can defend, progress in the CFA program if you have it, or a year of accounting experience that means the team will spend less time teaching you the statements. Variable pay and a bonus may be part of the offer. Ask for the target bonus in dollars, for a year that goes as the firm expects, so you can add it to the base yourself and compare the sum with $59,980 and with $96,220. Do not accept "bonus eligible" as a number.
When you are the analyst who owns a forecast or a coverage name, the median estimate of $96,220 is the anchor. The $36,240 between entry and median is the promotion math. List the memos you wrote that changed a decision, the forecasts you maintained, the junior person you now review. Say that the estimates put $36,240 between a starting seat and the middle, and that your week looks like the middle. If the firm lives on bands, ask which band contains $96,220 and what the criteria are to enter it. A title change without pay is a compliment. You can thank them and still ask for the band.
The top estimate, $224,750, is $128,530 above the median. That is a wide remaining range, and it will sound unserious if you quote it as your ask in a second-year review. Hold it for a senior investment seat or a corporate role that already carries decision rights beyond a standard analyst memo, and even then quote it as the top of the estimate, not as a wage you are owed. A precise request sounds like this: the median estimate is $96,220, my scope has moved past that description in these ways, and I am asking for a figure between the median and the top, sized to the extra scope, with the $128,530 gap as the map of what remains rather than as the demand. Bring the memo. Leave the stock tips at the door. The person across the table is deciding your pay, not placing an order.
The top of Financial Analyst pay — and how to get there with AI
$224,750top-end estimate for Financial Analyst
PayCrunch estimate - derived from the closest occupation BLS tracks (Financial and Investment Analysts, 13-2051). This figure is PayCrunch’s estimate, not a Bureau of Labor Statistics published wage for this exact title.
And the role it leads to — Financial Managers — reaches $370,780 in New York.
$59,980entry$96,220middle$224,750top end
A financial analyst in the middle of this range answers each question once and then answers it again next quarter; at the top of the range, the analyst has built the data set, the definitions and the interface, so only the genuinely hard questions ever reach a person.
Work arrives as requests, and requests feel like the job. They are not. Most of what a financial analyst is asked for is the same handful of questions with a different period, entity or currency attached, and preparing each one by hand keeps you interchangeable with whoever is hired next. Modelling tools, query engines and business intelligence platforms have made a self-serve layer genuinely achievable by one determined person. Building it means arguing about definitions, owning the refresh, and being the name attached when a number is wrong, which is exactly why so few people do it.
Your playbook, by where you are now
Just startingAnswer the same question once
Keep a log for a month of every request that lands on you, and mark which ones are the same question with different parameters.
Rebuild the three most repeated ones in Alteryx so the inputs refresh rather than being pasted in each time.
Learn enough Apache Hive to query the source tables directly instead of raising a ticket for an extract and waiting.
Publish one of those three as a dashboard in the business intelligence software your company already pays for, and watch whether anyone uses it.
What proves it: Three recurring requests that no longer require you to be available.
Realistic span: the first eighteen months
A few years inTreat it as a product, not a favour
Write the definitions down and put them beside the numbers: which entity, which date basis, what counts and what does not.
Bring in IBM SPSS Statistics or Analyse-it where a question is genuinely statistical, and say clearly when it is only arithmetic.
Ask Microsoft Copilot to draft the documentation you keep postponing, then correct it line by line against the model itself.
Track who uses what you built and who quietly goes back to emailing you, then fix whatever is driving them away.
Reconcile your layer against Intuit QuickBooks or the accounting system every period, so trust in it is earned rather than assumed.
What proves it: A documented data set with published definitions that other teams cite by name.
Realistic span: years two through six
ExperiencedOwn the layer everyone reports from
Take formal responsibility for the shared model, the definitions and the refresh schedule, including being wrong in public when it breaks.
Run scenario work through a proper simulator rather than duplicating a workbook per case, so assumptions live in one place.
Set the standard for how models are built and reviewed across the team, then actually review them.
Mentor the analysts who will maintain it, because a tool with one owner is a liability rather than an asset.
Wyoming pays this occupation the most, and analysts who own a system are the ones who get looked at for financial management roles.
What proves it: A reporting layer the organisation depends on, with a named owner and a documented review process.
Realistic span: from year seven
The next 90 days
For the next ninety days, keep a request log and do nothing else different at first. Every question that reaches you goes in one file with who asked, what they wanted and how long it took. At the end of the first month, sort it. You will find that a small number of shapes account for most of your week. Take the single most frequent one, rebuild it so it refreshes without you, publish it where the requesters can reach it, and tell them once. Then leave it alone and see who comes back to you anyway. Their reasons are the specification for everything you build after that.
Wage figures: PayCrunch estimate. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
The top of Financial Analyst pay — and how to get there with AI
$224,750top-end estimate for Financial Analyst
PayCrunch estimate - derived from the closest occupation BLS tracks (Financial and Investment Analysts, 13-2051). This figure is PayCrunch’s estimate, not a Bureau of Labor Statistics published wage for this exact title.
And the role it leads to — Financial Managers — reaches $370,780 in New York.
$59,980entry$96,220middle$224,750top end
A financial analyst in the middle of this range answers each question once and then answers it again next quarter; at the top of the range, the analyst has built the data set, the definitions and the interface, so only the genuinely hard questions ever reach a person.
Work arrives as requests, and requests feel like the job. They are not. Most of what a financial analyst is asked for is the same handful of questions with a different period, entity or currency attached, and preparing each one by hand keeps you interchangeable with whoever is hired next. Modelling tools, query engines and business intelligence platforms have made a self-serve layer genuinely achievable by one determined person. Building it means arguing about definitions, owning the refresh, and being the name attached when a number is wrong, which is exactly why so few people do it.
Your playbook, by where you are now
Just startingAnswer the same question once
Keep a log for a month of every request that lands on you, and mark which ones are the same question with different parameters.
Rebuild the three most repeated ones in Alteryx so the inputs refresh rather than being pasted in each time.
Learn enough Apache Hive to query the source tables directly instead of raising a ticket for an extract and waiting.
Publish one of those three as a dashboard in the business intelligence software your company already pays for, and watch whether anyone uses it.
What proves it: Three recurring requests that no longer require you to be available.
Realistic span: the first eighteen months
A few years inTreat it as a product, not a favour
Write the definitions down and put them beside the numbers: which entity, which date basis, what counts and what does not.
Bring in IBM SPSS Statistics or Analyse-it where a question is genuinely statistical, and say clearly when it is only arithmetic.
Ask Microsoft Copilot to draft the documentation you keep postponing, then correct it line by line against the model itself.
Track who uses what you built and who quietly goes back to emailing you, then fix whatever is driving them away.
Reconcile your layer against Intuit QuickBooks or the accounting system every period, so trust in it is earned rather than assumed.
What proves it: A documented data set with published definitions that other teams cite by name.
Realistic span: years two through six
ExperiencedOwn the layer everyone reports from
Take formal responsibility for the shared model, the definitions and the refresh schedule, including being wrong in public when it breaks.
Run scenario work through a proper simulator rather than duplicating a workbook per case, so assumptions live in one place.
Set the standard for how models are built and reviewed across the team, then actually review them.
Mentor the analysts who will maintain it, because a tool with one owner is a liability rather than an asset.
Wyoming pays this occupation the most, and analysts who own a system are the ones who get looked at for financial management roles.
What proves it: A reporting layer the organisation depends on, with a named owner and a documented review process.
Realistic span: from year seven
The next 90 days
For the next ninety days, keep a request log and do nothing else different at first. Every question that reaches you goes in one file with who asked, what they wanted and how long it took. At the end of the first month, sort it. You will find that a small number of shapes account for most of your week. Take the single most frequent one, rebuild it so it refreshes without you, publish it where the requesters can reach it, and tell them once. Then leave it alone and see who comes back to you anyway. Their reasons are the specification for everything you build after that.
Wage figures: PayCrunch estimate. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
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).
Go to perplexity.ai in any browser - you can start free without even signing up. Perplexity answers finance questions with live sources and citations, which matters when you cannot afford a made-up number.
In the search box, type a real research question, like: Summarize the revenue drivers and margin trend from [company]'s most recent quarter, and cite the source. Click the citations to verify each figure. Getting in the habit of tracing every AI answer back to the filing is what separates an analyst who uses AI safely from one who gets burned by it.
The one rule, forever: Never paste material non-public information (MNPI), confidential deal data, or client holdings into public AI tools - it can breach confidentiality and securities rules. Use only your firm's walled, approved AI for anything sensitive.
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
Turn numbers into a story executives act on
Why this pays: The analysts who get promoted to FP&A leadership and business-partner roles are the ones whose analysis drives decisions - narrative, not spreadsheets, is the top-of-band skill.
ClaudeChatGPTMicrosoft 365 Copilot in PowerPoint
1
Feed AI your de-identified analysis and have it draft the executive narrative and the one recommendation that matters.
Copy-paste this prompt
You are a CFO's trusted analyst. Here is a de-identified summary of this quarter's results: [paste numbers, no confidential detail]. Write a three-bullet executive summary that leads with the single decision leadership must make, then the two supporting insights.
Keep it de-identified; the point is the structure and framing, which you then apply to the real deck.
2
Use AI to stress-test your recommendation before you present it.
Copy-paste this prompt
Act as a skeptical CFO. Here is my recommendation and reasoning: [paste]. Ask me the five hardest questions you would ask before approving it, one at a time.
What you'll haveYou become the analyst whose work moves decisions - the visible profile that earns promotion toward the top of the band.
2
Automate earnings, filings, and comps in minutes
Why this pays: Freeing hours from data gathering lets you spend them on the analysis that gets noticed - and being fast is itself a differentiator on a lean team.
AlphaSenseHebbiaDaloopaPerplexity Finance
1
Use an AI research platform to pull the key numbers and language changes from filings instead of reading line by line.
Copy-paste this prompt
Summarize this company's latest 10-K: revenue drivers, margin trend, top three risk factors, and any change in guidance language versus the prior year. Point me to the exact sections so I can verify.
2
Have AI extract and structure comp-set data, then you sanity-check every number.
Copy-paste this prompt
Build a comparison table of these five companies on revenue growth, gross margin, and EV/EBITDA from their latest filings, and cite the source for each cell so I can confirm it.
What you'll haveYou deliver in hours what used to take days, and reinvest the time in the judgment that earns raises.
3
Build models faster and cleaner with AI
Why this pays: Modeling mastery is the core craft that separates senior analysts, and AI lets you build, audit, and document models at a level that gets you trusted with bigger work.
Microsoft 365 Copilot in ExcelChatGPTRogo
1
Use AI to write and explain the tricky formulas and to catch errors in your model.
Copy-paste this prompt
Write an Excel formula to calculate levered free cash flow from these line items, and explain what each part does so I can audit it: [list the line items].
2
Have AI review your model's logic for the mistakes that embarrass analysts in reviews.
Copy-paste this prompt
Here is the structure of my three-statement model and its key assumptions: [paste de-identified structure]. List the most common modeling errors I should check for and the circular-reference or hardcoding risks in this setup.
What you'll haveYou produce models people trust, which is how analysts earn responsibility for the deals and forecasts that pay.
4
Earn the CFA to unlock higher-comp finance
Why this pays: The CFA charter is a recognized gate to buy-side and senior investment roles, where compensation runs toward and past the top of the analyst band.
ChatGPTClaude
1
Use AI to drill the concepts and quantitative methods that trip up candidates.
Copy-paste this prompt
You are a CFA Level I tutor. Explain how to calculate and interpret the Sharpe ratio and information ratio with a worked example, then give me three practice problems and full solutions.
2
Have AI quiz you in the exam's item-set format to build stamina.
Copy-paste this prompt
Give me a CFA-style vignette on fixed-income duration and convexity, followed by four multiple-choice questions, then grade my answers and explain each.
What you'll haveYou add the credential that opens buy-side and senior roles at the top of the pay range.
5
Break into higher-paying finance seats
Why this pays: Moves into equity research, corporate development, private equity, or a hedge fund step compensation up sharply - and they turn on your ability to pitch and defend a thesis.
ChatGPTClaudePerplexity
1
Build and pressure-test an investment thesis with AI acting as the portfolio manager.
Copy-paste this prompt
You are a buy-side portfolio manager. I want to pitch [ticker] as a long. Ask me the five hardest questions about the thesis, valuation, and risks, one at a time, and critique each answer.
2
Prepare for technical interviews with realistic drilling.
Copy-paste this prompt
Act as an interviewer for a corporate development analyst role. Ask me technical questions on DCF, accretion/dilution, and LBO basics one at a time, and tell me whether each answer would clear the bar.
What you'll haveYou land a higher-comp finance seat, the most direct route to the top of the band.
6
Become the team's AI and Python power-analyst
Why this pays: Automating recurring reporting with AI-written Python makes you the scarce analyst who scales - a skill that earns premium pay on data-heavy teams.
ChatGPT Advanced Data AnalysisClaudeMicrosoft 365 Copilot in Excel
1
Have AI write Python to automate a report you currently rebuild by hand each month.
Copy-paste this prompt
I rebuild this monthly report manually. Write a Python script that takes a CSV in this format and outputs the summary metrics and charts I need. Explain each step so I can maintain it. Format: [describe columns, no confidential data].
2
Use AI to learn just enough Python to run and adapt what it writes.
Copy-paste this prompt
Teach me the minimum Python a financial analyst needs to load a spreadsheet, compute summary stats, and make a chart - in a short, hands-on sequence with tiny exercises.
What you'll haveYou turn hours of manual reporting into minutes and become the analyst the team cannot do without.
Your 12-month sequence to the top of the range
How the plays above stack into a path from median pay toward the $169,580 tier.
This week
Use Perplexity to summarize a company's latest quarter and verify every number against the filing.
Weeks 1-2
Adopt one AI research tool (AlphaSense, Hebbia, or Perplexity Finance) into your filing and earnings workflow.
Month 1
Rebuild one recurring report with AI-written Python or Excel Copilot to reclaim monthly hours.
Months 1-3
Practice turning your analysis into a decision-first executive narrative every time you present.
Months 2-4
If targeting the buy-side, start CFA prep and build one full investment thesis with AI as your sparring partner.
Months 3-6
Interview for a higher-comp seat (FP&A leadership, ER, corp dev, PE), using AI to drill technicals and stories.
Ongoing
Keep shifting your value from gathering data to shaping decisions - and let AI carry the gathering.
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.
Official Wiley/CFA Institute 2026 Level I box set. Live leftover is 180 MC / two 135-min sessions; Ethics 10–15. Not leftover 94 CFP. Not Level II or Level III.
Next steps for a Financial 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.
Financial 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.
Financial 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.
Coursera search for financial analysis — a professional certificate or bachelor's-level coursework that lines up with business and finance, not a generic professional-development aisle.
FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Financial Analyst work, not a claim that they list a counted SOC 13-2051 inventory.
Write a Financial 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.
A Financial 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 Financial Analysts earn by state
This page does not show a state table, and the reason is worth stating: the Bureau of Labor Statistics does not publish a separate wage series for this job title, so there are no official state figures to show. Scaling the national median by a cost-of-living index would produce a number for every state, but it would be an estimate of living costs wearing a wage’s clothes, and PayCrunch would rather show you nothing than that.
What the national figures say: pay starts near $59,980, the median is $96,220, and the top of the range is $224,750. Those national figures are a PayCrunch estimate, not a Bureau of Labor Statistics published wage for this exact title.
It is transforming the role by automating data gathering and first-draft modeling. What survives and pays is judgment, narrative, and the relationships that turn analysis into decisions. Analysts who lean into those, and let AI handle the spreading and summarizing, are the ones who advance.
Is it safe to use ChatGPT for financial analysis?
For public data and de-identified work, yes - but never paste material non-public information or confidential deal data into public tools, and always verify AI-produced numbers against the source filing. Treat AI as a fast first draft, never as the final word on a figure.
Do I still need the CFA if AI can do the analysis?
For buy-side and senior investment roles, the CFA remains a real gate, and AI does not change that - if anything, credentialed judgment matters more as raw analysis gets automated. AI mainly helps you pass it faster by acting as an on-demand tutor.
What separates a $96,220 analyst from a $169K one?
Moving into higher-comp seats (buy-side, FP&A leadership, corp dev, PE), building models and narratives executives trust, and often the CFA. AI accelerates the craft, but the seat change and the judgment are what pay.
Which AI tools do financial analysts actually use?
Perplexity for sourced research, AlphaSense and Hebbia for filings and transcripts, Daloopa for extracting financial data, Microsoft 365 Copilot in Excel for modeling, and ChatGPT or Claude for narrative and Python. Always trace numbers back to primary sources.
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 are written to work as-is. Verify any professional output before relying on it.