In the U.S., the monthly salary for Data Scientists and Analysts varies based on experience, location, industry, and company size. Below is a breakdown of average monthly salaries (before taxes) for these roles:
1. Data Analysts
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Entry-Level (0-2 years): 4,500–6,500 per month (54,000–78,000 per year)
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Mid-Level (3-5 years): 6,500–9,200 per month (78,000–110,000 per year)
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Senior-Level (5+ years): 9,200–12,500+ per month (110,000–150,000+ per year)
2. Data Scientists
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Entry-Level (0-2 years): 6,700–9,200 per month (80,000–110,000 per year)
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Mid-Level (3-5 years): 9,200–12,500 per month (110,000–150,000 per year)
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Senior-Level (5+ years): 12,500–20,800+ per month (150,000–250,000+ per year)
Factors Affecting Salary
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Location: High-cost cities (San Francisco, New York, Seattle) pay 20-30% more than the national average.
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Industry: Tech (FAANG), finance, and healthcare tend to offer higher salaries.
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Skills: Expertise in Python, SQL, Machine Learning, Big Data (Spark, Hadoop), and cloud platforms (AWS, Azure) increases earning potential.
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Education: Advanced degrees (Master’s or PhD) can lead to higher-paying roles.
Additional Compensation
Many U.S. tech jobs include bonuses, stock options, and benefits (healthcare, 401(k)), which can add 10,000–50,000+ per year to total compensation.
Conclusion
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Junior Data Analysts typically earn 4,500–6,500/month.
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Senior Data Scientists at top companies can make 15,000–20,000+/month (or more with bonuses and stock).
Salaries are highest in tech hubs (Bay Area, NYC, Boston) but may be lower in smaller cities with a lower cost of living.
