Data Analyst Salary Benchmarks

Data Scientists typically earn 20–40% more than Data Analysts, reflecting the additional machine learning, experimentation, and statistical modeling skills required. However, senior Data Analysts with strong SQL and business context can close the gap, especially at companies that value analytics-driven decision-making over ML.

Common progressions include Senior Data Analyst, Data Scientist (for those who build ML skills), Analytics Engineer, or Business Analyst lead. Some Data Analysts transition into product analytics or growth analytics specialist roles.

Yes. Our data shows a $53,040–$93,600 typical range across 128 salaries. Late-stage SaaS companies with mature data infrastructure pay 15–30% more than early-stage startups, though earlier companies may offer more equity and broader scope across the entire analytics stack.

Significantly. Analysts who go beyond dashboards — writing complex SQL, building dbt models, scripting in Python, and designing data pipelines — command 15–25% premiums over those focused primarily on reporting. The line between Data Analyst and Analytics Engineer is increasingly blurring at top SaaS companies.

On a median base salary of $81,852, a Data Analyst at a US SaaS company makes about $6,821 a month, $3,148 every two weeks, or $39.35 an hour over 2,080 working hours a year. The middle half of salaries (25th–75th percentile) works out to $4,420–$7,800 a month. These are base-pay equivalents before tax, and they leave out bonus, commission, and equity.

Expect the lower half of this benchmark. Across 128 verified SaaS Data Analyst salaries, the 25th percentile is $53,040 and the median is $81,852. A Data Analyst at a seed or Series A startup, or at a bootstrapped company under roughly $10M ARR, will often land between those two figures. Base pay typically moves toward and past the $93,600 75th percentile as the company adds headcount and ARR. Those stage bands are a rule of thumb applied to this benchmark, not a breakdown by company size, which the dataset does not report.

Budget for more than base salary. On a median base of $81,852, the fully loaded cost of a US Data Analyst is roughly $102,315–$114,593 per year once employer payroll taxes (~7.65% FICA plus federal and state unemployment), health and retirement benefits, software seats, and equipment are added. That 1.25–1.4x multiplier is a planning rule of thumb applied to the benchmark on this page, not a surveyed cost figure. Commission, bonuses, and equity sit on top where the role carries them. Also budget one-off hiring costs: agency recruiting fees commonly run 15–25% of first-year base, and a new hire takes weeks to months to reach full productivity.