Business & Finance

Financial Analyst

🇺🇸 US 🇬🇧 UK 🇦🇺 AU 🇨🇦 CA

Live job postings

12,656

as of 15 Aug 2026

Demand index

0.21%

% of all job postings

Median salary

$80k

$80,000

Salary range

$60k – $120k

$60,000 – $120,000

Trend analysis & outlook

The financial analyst market in the US currently shows about 11,418 active job postings with a median salary of $100,000, positioning it as a solid mid-level career. Analyzing the 12-month trend, job postings were very stable between 102,000 and 109,000 from August 2025 through May 2026, but then dropped sharply to around 11,000 in June and July 2026—this likely reflects a seasonal decline or data reporting shift rather than a collapse in demand. The Hot Index has been steadily declining from 88 in August 2025 to 48 in June 2026, indicating a cooling market with less urgency to hire. Recent news highlights the growing need for certifications and data analytics skills, suggesting employers are prioritizing specialized expertise. Over the next 6–12 months, financial analyst demand is expected to remain stable but competitive, with roles increasingly requiring technical proficiency in AI and data tools to differentiate candidates.

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Salary distribution

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Core skills employers ask for

Financial ModelingData Analysis and Visualization (Excel, Power BI, Tableau)Accounting and Financial Reporting (GAAP/IFRS)Budgeting and ForecastingValuation Techniques (DCF, Comps)SQL and Database QueryingPython or R for Financial AnalyticsRisk Management and CompliancePresentation and Communication SkillsKnowledge of Fintech Tools (e.g., Bloomberg Terminal, Alteryx)

AI impact on this career

AI is rapidly automating routine financial analysis tasks like data extraction, preliminary reporting, and even variance analysis, reducing demand for entry-level roles focused on manual spreadsheet work. However, AI creates new opportunities for financial analysts who can leverage machine learning for predictive analytics, scenario modeling, and fraud detection. To stay relevant, analysts must upskill in AI tools (e.g., Python for finance, automated reporting platforms) and focus on high-judgment tasks like strategic interpretation and decision support. The ability to validate AI-generated insights and communicate them to non-technical stakeholders is becoming a core differentiator.