Complete Data Scientist vs Data Analyst Salary Comparison (2026)

In 2025, the average salary for a Data Scientist is approximately $120,000, while a Data Analyst earns about $85,000. Although both roles offer attractive salaries, the disparity reflects the level of expertise and advanced skills required for Data Scientists.

Entry-level positions for Data Analysts can start at around $60,000, whereas Data Scientists in entry roles may begin with salaries around $90,000. As you gain experience and specialize in your respective field, salaries can increase significantly, making both careers financially rewarding.

The salary ranges for these two roles vary greatly by experience. Entry-level Data Analysts can earn between $60,000 and $75,000, while entry-level Data Scientists typically range from $90,000 to $105,000.

Mid-level Data Analysts, with 3-5 years of experience, can expect salaries between $75,000 and $100,000. On the other hand, mid-level Data Scientists can earn between $105,000 and $140,000.

Senior-level professionals see even larger differences, with Data Analysts earning up to $120,000 and Data Scientists often making around $150,000 or more.

Both Data Scientists and Data Analysts enjoy competitive benefits packages, which may include health insurance, retirement plans, and paid time off. However, Data Scientists may receive additional perks, such as bonuses or stock options, reflecting their advanced skill set and impact on business decisions.

Furthermore, opportunities for remote work and flexible schedules are increasingly common in both fields, catering to the needs of modern professionals.

The career paths for Data Scientists and Data Analysts also vary significantly. Data Analysts often transition into senior analyst roles or specialize further into niche areas such as business intelligence or data visualization.

In contrast, Data Scientists are more likely to move into leadership positions such as Data Science Manager, Chief Data Officer, or even transition into specialized fields like machine learning engineering. Continuous learning and specialization are crucial for advancement in both careers, but Data Scientists may require a higher level of ongoing education due to the complexity of their work.

When comparing the salaries and benefits of Data Scientists and Data Analysts, several key points emerge: Data Scientists generally earn higher salaries, especially as they advance in their careers, and they possess a broader skill set that often includes programming and statistical analysis. Data Analysts, while earning less on average, often have a more straightforward career path and are integral to data reporting and analytics.

Understanding these distinctions can help you choose the right career based on your interests, strengths, and financial goals.