Data Analyst Salary in 2026: By State, Level & Industry

Data Analyst Salary by Experience Level

Experience level is the single biggest driver of data analyst compensation. The gap between entry-level and senior is typically 80-100% in base salary — and even larger when total compensation including bonuses is considered.

Entry-Level Data Analyst (0-2 years)

National median: $55,000-$72,000

Entry-level analysts with 0-2 years of experience earn between $55,000 and $72,000 at most employers, with the higher end at tech companies and financial services firms in major metros. Some top tech companies (Google, Meta, Amazon) pay $80,000-$95,000 base for entry-level analyst roles with relevant internship experience. Geographic location can swing entry-level salaries by $15,000-$25,000.

Mid-Level Data Analyst (2-5 years)

National median: $78,000-$100,000

Mid-level analysts with proven project ownership experience and strong SQL and Python skills earn $78,000-$100,000 nationally. In high-cost markets like San Francisco, New York, and Seattle, mid-level analysts at tech companies routinely earn $105,000-$125,000 in base salary. At this level, specialization — in product analytics, marketing analytics, or financial analytics — starts to differentiate compensation.

Senior Data Analyst (5-8 years)

National median: $100,000-$130,000

Senior analysts earn $100,000-$130,000 nationally, with tech and finance sector seniors earning $130,000-$155,000 in major markets. At this level, base salary is often supplemented by a 5-15% annual bonus, and at public tech companies, RSU grants add another $15,000-$40,000 per year in compensation.

Lead / Staff Analyst (8+ years)

National median: $125,000-$160,000

Lead and staff analysts — the senior IC track at larger companies — earn $125,000-$160,000 nationally. At top tech companies in major metros, this level can earn $160,000-$195,000 in base salary plus equity.

Analytics Manager / Director

National median: $140,000-$185,000+

Analytics managers and directors are in demand at companies building out data teams. Compensation at this level typically includes base salary plus a 15-25% target bonus and equity grants. Total compensation for Analytics Directors at major tech companies often exceeds $250,000.

Data Analyst Salary by State

State-level data shows a clear pattern: coastal tech hubs pay the most, with the South and Midwest paying 20-35% less on average for equivalent roles. Here are median base salaries for mid-level data analysts by state:

• California: $105,000 — driven by Bay Area tech salaries
• Washington: $100,000 — Seattle tech ecosystem (Amazon, Microsoft)
• New York: $98,000 — NYC finance and tech sector
• Massachusetts: $95,000 — Boston biotech and tech
• Colorado: $88,000 — Denver/Boulder tech growth
• Texas: $84,000 — Austin tech hub pulling up state average
• Illinois: $82,000 — Chicago finance and enterprise
• Georgia: $78,000 — Atlanta tech and fintech growth
• Florida: $74,000 — Miami tech emerging, rest of state lower
• Ohio: $70,000 — Columbus and Cleveland employer markets
• North Carolina: $76,000 — Research Triangle pulling up average
• Michigan: $71,000 — Detroit automotive analytics demand

Data Analyst Salary by City

City matters more than state. Here are median salaries for mid-level data analysts in the top metros:

• San Francisco, CA: $115,000-$135,000
• Seattle, WA: $108,000-$128,000
• New York City, NY: $105,000-$125,000
• San Jose / South Bay: $112,000-$132,000
• Boston, MA: $98,000-$118,000
• Washington, D.C.: $92,000-$112,000
• Los Angeles, CA: $92,000-$110,000
• Austin, TX: $88,000-$108,000
• Chicago, IL: $85,000-$105,000
• Denver, CO: $85,000-$105,000
• Atlanta, GA: $80,000-$98,000
• Dallas, TX: $78,000-$96,000
• Phoenix, AZ: $74,000-$92,000

Data Analyst Salary by Industry

Industry is a major differentiator — analysts doing similar work can earn dramatically different salaries depending on what sector their employer is in. Here are median salaries for mid-level analysts by industry:

Technology

Median: $100,000-$125,000

Tech companies pay the most for data analysts. Product analytics roles at companies like Google, Meta, Stripe, or Airbnb pay $120,000-$150,000 in base for mid-level analysts, plus meaningful equity. Even mid-tier tech companies pay above median in most markets.

Financial Services & Fintech

Median: $95,000-$120,000

Banks, investment firms, and fintech companies are major employers of data analysts. Risk analytics, fraud detection, and trading analytics are particularly well-compensated specializations. Total compensation in finance often includes a significant annual bonus — 15-30% of base — that is not reflected in base salary figures.

Healthcare & Pharma

Median: $80,000-$105,000

Healthcare analytics is one of the fastest-growing sectors. Analysts with clinical data experience, EHR systems knowledge (Epic, Cerner), or expertise in claims analytics command a premium. Pharma companies doing clinical trial analytics and real-world evidence work pay at the top of this range.

E-Commerce & Retail

Median: $78,000-$100,000

E-commerce analysts work on customer lifetime value, funnel optimization, and inventory analytics. Amazon is the dominant employer in this space and pays above-average for the industry. Traditional retail pays lower.

Consulting

Median: $85,000-$110,000

Analytics consultants at major firms (McKinsey, Deloitte, Accenture, PwC) earn competitive salaries with fast career progression. The trade-off is travel and hours. Independent analytics consultants can earn $80-$150/hour on a project basis.

Government & Nonprofit

Median: $62,000-$82,000

The lowest-paying sector for data analysts. However, government roles offer strong job security, excellent benefits, and work-life balance. Federal government roles generally pay better than state or local government.

What Factors Affect Your Data Analyst Salary Most?

• Company size and type: A data analyst at Google earns 2x what the same level earns at a small business — same title, same work, very different pay.
• Specialization: Product analytics, ML engineering-adjacent work, and A/B testing expertise all command premiums over generalist roles.
• SQL depth: Analysts who can write complex, optimized SQL for large-scale data warehouses are paid more than those who rely on BI tools.
• Python / R skills: Moving from SQL-only to Python-capable typically adds $8,000-$15,000 to salary expectations at the mid-level.
• Communication skills: Analysts who can present findings clearly to executives get promoted faster and earn more. Hard to quantify but consistently cited by hiring managers.
• Negotiation: Analysts who negotiate their initial offer earn $6,000-$12,000 more over the first year — and those gains compound at every subsequent role change.

How to Negotiate Your Data Analyst Salary

Know Your Number Before the Conversation

Research salary ranges on Levels.fyi (for tech companies), Glassdoor, LinkedIn Salary, and the Bureau of Labor Statistics occupational outlook. Know the market rate for your specific experience level, city, and industry before any salary conversation.

Never Give the First Number

If asked your salary expectations early in the process, deflect with: "I'd like to learn more about the role and full compensation package before discussing a number. What is the budgeted range for this position?" In many states, employers are legally required to disclose salary ranges.

Negotiate Beyond Base

If they cannot move on base, negotiate on: signing bonus (often easier to approve), extra PTO, remote work flexibility, an accelerated performance review at 6 months instead of 12, or a higher equity grant. Each of these has real monetary value.

Use Data, Not Emotion

The most effective negotiation frame is: "Based on my research, the market rate for this role in [city] with my level of experience is $X-$Y. I was hoping for $Z. Is there room to get there?" This is professional, non- confrontational, and shows you have done your homework.

Get Competing Offers

The single most powerful negotiation tool is a competing offer. Even if you prefer the first company, interviewing at multiple places gives you real leverage. Most offers can be negotiated up 10-20% when a competing offer is on the table.

Ready to find data analyst roles that match your experience and target salary? TryApplyNow matches your profile to analyst jobs with AI-powered scoring — so you can focus on the applications where your background aligns best with what employers are looking for.