Business and Financial · Bachelor's degree
SALARY RANGE
$52,294
10th
$71,310
25th
$95,080
Median
$123,604
75th
$145,472
90th
Median hourly: $45.71/hr
Source: Bureau of Labor Statistics, 2024 OEWS (most recent release)
EMPLOYMENT OUTLOOK
Growth outlook: Faster than average
Projected change: +5.2% (+6K jobs)
Projection period: 2024-2034
Typical education: Bachelor's degree
Source: Bureau of Labor Statistics, 2024-2034 Employment Projections
ORUNE'S AI ANALYSIS
Based on O*NET task data and published AI research
0
AI handles independently
6
AI assists (and growing)
2
Distinctly human
AI currently handles 0 of 8 tasks independently, assists with 6 more, and 2 remain distinctly human. The balance is shifting as AI capabilities grow.
RELATED ROLES
See how AI is changing this role in detail.
Check Financial AnalystsWhat is changing in this field
Building the model is no longer the hard part. Knowing which question to model, which inputs deserve a sniff test, and how to translate the answer into a decision a CFO or operator will actually use is increasingly the differentiator. Analysts who can do that work are seeing wage growth that pure-modeling roles are not.
Adoption signals
AI is moving from spreadsheet helper to forecasting partner
Major FP&A platforms have integrated AI for variance analysis, driver-based forecasting, and scenario sensitivity. The early use cases were narrative help on board decks; the current ones are model construction and reasonableness checks on inputs.
Source: Major FP&A platform release notes and CFO survey reporting
Bloomberg-style domain LLMs are reshaping research workflows
Domain-trained financial language models, plus enterprise integrations of general-purpose models, are now standard in equity research, transaction advisory, and corporate finance teams at mid-size firms and above.
Source: Industry technology roadmaps and major bank earnings calls
Pure modeling roles are flat to softer; advisory roles are stronger
Hiring data is showing slower growth for execution-heavy analyst seats and faster growth for finance business-partner roles, where the work is translating numbers into operating decisions for non-finance audiences.
Source: BLS OEWS and major financial recruiting reports
Audit and accounting standards are catching up
Regulators and audit firms are publishing guidance on AI-generated work papers and review trails. This is creating a near-term premium on analysts who can document AI-assisted analysis in a way that stands up to review.
Source: Big Four guidance publications and PCAOB / SEC commentary
How this lands at different career stages
Early career (0-5 years)
The classic path of "earn your stripes building models" is shorter than it used to be. AI tools collapse what used to take a week into a day. The catch is that the formative learning that came with building those models by hand has to come from somewhere else now. The most useful early-career investment is reps with operators: sit in pipeline reviews, sit in monthly close, sit in board prep. Pattern recognition across cycles is what lasts.
Mid career (5-15 years)
This is where the road forks. One path is going deeper into the domain (treasury, M&A, FP&A leadership, equity research with a real specialty). The other is moving toward business-partner finance, where the work is shaping decisions rather than building decks. Staying in pure-execution analyst seats is the path with the most pressure: speed and polish are the dimensions AI is closing fastest.
Senior career (15+ years)
Your ability to read a P&L the way a doctor reads a chart, your sense for which assumptions matter and which do not, your relationship capital with auditors and operators — these compound. AI accelerates the mechanics but does not replace the judgment that comes from being wrong many times and learning what kinds of wrong tend to repeat. Senior advisory roles, board work, and mentorship are where this compounding shows up most.
Demand trajectory
BLS projections for this occupation are modest but positive. Underneath that aggregate, the role composition is shifting: pure modeling and reporting seats are flat or contracting, while advisory and business-partner finance roles are expanding. Net headcount is likely stable; the inside of the role is changing more than the outside suggests.
Editorial depth module.
Salary and employment data from the Bureau of Labor Statistics (2024 OEWS, 2024-2034 Employment Projections).
Task analysis based on O*NET occupational data and published AI research.
Learn more about our data sources