Definition: A Data Analyst role in United States pays a median salary of $100k per year (juniors $70k, seniors $150k) with an AI replacement risk of 8/10. The role requires SQL, Excel, Python, plus emerging AI-collaboration skills.
Data Analyst roles in the United States are projected to grow 8% through 2026, outpacing most other professions. If you're considering this path, understand that employers genuinely want analytical thinkers who can translate messy data into clear business decisions—not just people comfortable with spreadsheets. You'll find opportunities across every industry: healthcare systems need analysts to optimize patient outcomes, retailers depend on them to forecast demand, and financial institutions use them to detect fraud. The median salary ranges from $65,000 to $85,000 depending on experience and location, with senior positions reaching well beyond six figures. What matters most is demonstrating impact: show how your analysis changed a decision or saved money. Entry-level positions typically require SQL, Excel, and visualization skills like Tableau or Power BI. Below you'll find current job openings, interview questions, and skill assessments to help you land your next role.
| Level | Salary | Years' Experience |
|---|---|---|
| Junior | $70k | 0–2 |
| Median | $100k | 3–6 |
| Senior | $150k | 7+ |
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AI Threat Score: 8/10. AI-native BI tools (Julius, Hex, ChatGPT Code Interpreter) collapse hours of analysis into minutes; storytelling and stakeholder framing remain.
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