Data Analyst Salary Guide

Data Analysts gather, clean, and analyze structured and semi-structured data to produce actionable insights. They build dashboards and reports, identify trends, support decision-making across teams, and communicate findings to technical and non-technical stakeholders.

What is the average Data Analyst salary?

Entry Level

$55,000 - $75,000

Mid Level

$75,000 - $110,000

Senior Level

$110,000 - $150,000+

How does Data Analyst salary grow with experience?

$50,000 - $65,000

0-1

$60,000 - $80,000

1-3

$80,000 - $100,000

3-5

$100,000 - $140,000

5-10

$120,000 - $170,000++

10+

Base (min)

Top of range (max)

Max: $170k

Data Analyst salary by location

San Francisco Bay Area, CA$90,000 - $160,000

New York City, NY$85,000 - $150,000

Seattle, WA$80,000 - $140,000

Austin, TX$70,000 - $120,000

Remote (U.S., company-dependent)$65,000 - $140,000

Base (min)

Top of range (max)

What factors affect a Data Analyst's salary?

Location and cost of living (tech hub premiums)
Technical skillset (SQL, Python/R, visualization, cloud/big data tools)
Domain experience and business impact (finance, healthcare, ad tech)
Company size and funding stage (startup vs. FAANG/enterprise)
Education, certifications, and seniority (M.S., analytics certs, leadership)

Frequently Asked Questions About Data Analyst Salaries

What is the average salary for a Data Analyst in the U.S.?

As of 2026, U.S. Data Analyst salaries typically range from about $55,000 at entry level to $150,000+ for senior roles; the national mid-level median is roughly $85,000–$100,000.

How does location affect a Data Analyst's salary?

Location can shift pay by 15–40%: major tech hubs like San Francisco and NYC pay substantially more than smaller markets; remote roles often land between local and hub rates depending on company policy.

What skills most increase a Data Analyst's pay?

High-impact skills include SQL expertise, Python/R programming, data visualization (Tableau/Looker/Power BI), experience with big data tools, and domain knowledge (finance, healthcare, ad tech).

What is the difference between a Data Analyst and a Data Scientist in pay?

Data Scientists typically earn higher median salaries due to advanced modeling and ML responsibilities; Data Analysts focus on descriptive and diagnostic analytics and generally have lower starting and mid-career pay than Data Scientists.