Data Analyst Salary (2026): Pay Guide for All 50 States

Data analysts in the United States earn a national median of $80,394 per year — roughly $38.65/hour. Data analyst pay sits well above the U.S. median for all occupations and continues to climb, driven by the rapid expansion of data infrastructure across every industry, growing demand for SQL/Python/Tableau/Power BI fluency, the embedded role of data analytics in modern product, marketing, and operations teams, and AI-tooling adoption that has not (yet) replaced the analyst role but has substantially raised the productivity bar.

The national median is only the middle of the distribution. Three numbers describe the real range of data analyst compensation:

• Entry-level data analysts (10th percentile): $44,962/year — typically junior analysts in their first 1–2 years, often at smaller employers, in early-career roles at regional banks, retail, healthcare administration, and government, working primarily in SQL, Excel, and BI tools (Tableau, Power BI, Looker).
• Median data analyst (50th percentile): $80,394/year — the working analyst with 3–7 years of experience, frequently in product analytics, marketing analytics, financial analytics, or operations analytics at mid-sized employers, with strong SQL plus Python/R proficiency and demonstrated business-facing communication.
• Top-earning data analysts (90th percentile): $133,152/year — senior analysts at FAANG-tier tech companies (Meta, Google, Apple, Amazon, Microsoft, Netflix, Stripe, Airbnb), analytics engineers at modern data-stack employers, lead and principal data analysts at financial services, hedge funds, and quant firms, and senior product/growth analysts at high-growth startups with strong equity compensation.

Geographic location matters, but industry and employer type often matter more. Data analysts in Sunnyvale, CA earn a median of $126,663, while colleagues in Waterbury, CT earn around $39,558. FAANG and quant-fund analysts frequently out-earn equivalent analysts at traditional enterprises by $60,000–$180,000 in total compensation (base + bonus + equity) in the same metro. Remote-work adoption has partially decoupled pay from local cost of living for senior analysts at companies adopting national pay bands.

Data Analyst Salary vs Data Scientist Salary — Are They the Same?

No — they overlap but are distinct roles with meaningful pay differences. Data Analyst roles typically focus on descriptive and diagnostic analytics — SQL queries against existing data warehouses, dashboard development in Tableau/Power BI/Looker, ad-hoc business analysis, and stakeholder reporting. Data Scientist roles (technically tracked under SOC 15-2051 in the BLS classification, which combines both titles) typically focus more heavily on predictive analytics, machine learning model development, experiment design (A/B testing), causal inference, and statistical modeling — and often require advanced degrees (master's or PhD) plus deeper programming experience. The pay gap between data analyst and data scientist roles within the same SOC code is meaningful but narrowing as the analytics-engineering and product-analytics tracks have expanded.

The same job goes by several names in salary surveys and job postings:

• Data analyst salary / data analyst pay / business analyst pay
• Senior data analyst salary / lead data analyst pay
• Analytics engineer salary / BI developer pay
• Product analyst salary / growth analyst pay / marketing analyst salary
• Financial analyst salary (distinct from FinServ financial analysts — SOC 13-2051)
• Operations analyst salary / supply chain analyst pay
• Healthcare analyst salary / clinical analyst pay
• Government analyst pay / policy analyst salary

All of these reference SOC code 15-2051 (Data Scientists) in the Bureau of Labor Statistics Occupational Employment and Wage Statistics survey — the BLS combines data scientists and data analysts under a single SOC code (created in the 2018 SOC revision; refined in the 2021 OEWS data structure). This site reports the data analyst track within this broader category. No professional license is required to work as a data analyst; the role is unregulated. The Data Management Association International (DAMA) offers the optional CDMP (Certified Data Management Professional) credential, primarily relevant for data-governance and master-data-management specialists.

Compensation Structure: Base, Bonus, Equity, and Total Compensation

Data analyst compensation rarely fits a single base-salary number. Most analysts at competitive employers receive base salary plus bonus and equity, with the bonus and equity components varying dramatically by employer:

• FAANG and tier-1 tech (Meta, Google, Apple, Amazon, Microsoft, Netflix, Stripe, Airbnb, Salesforce, Adobe, NVIDIA): $130,000–$225,000+ total compensation for mid-level data analysts (base $115,000–$170,000 + annual bonus 10–20% + RSU equity $30,000–$80,000/year vested). Senior and staff analysts at FAANG routinely clear $250,000–$400,000+ in total compensation, with the levels.fyi-style L5/L6/L7 progression driving substantial step changes.
• Quant funds and trading firms (Citadel, Jane Street, Two Sigma, D. E. Shaw, Renaissance, Hudson River Trading, Jump Trading): the top of the data analyst pay scale; senior quant-adjacent analysts and quantitative researchers reach the 99th percentile of the SOC code with bonus structures that frequently exceed base salary.
• Financial services (investment banks, asset managers, hedge funds, fintech): $110,000–$200,000+ total compensation for senior analysts; strong bonus structures.
• High-growth startups (Series B+ to pre-IPO): base salary 10–25% below FAANG plus equity that may or may not vest into meaningful value; outcome distribution wide.
• Healthcare, retail, manufacturing, and traditional enterprise: $75,000–$130,000 base for mid-level analysts; smaller bonus and equity components than tech and finance.
• Government and public sector (federal GS pay scale, state, county, municipal): $70,000–$120,000 base with strong pension eligibility and PSLF; total compensation reflects stronger benefits and pension rather than bonus.
• Consulting (McKinsey, BCG, Bain, Deloitte, Accenture, Boston Consulting Group, EY, KPMG, PwC): $90,000–$165,000+ base for analyst-track roles with substantial year-end bonus.
• Remote-first companies (GitLab, Automattic, Buffer, Zapier, etc.): often pay national-band salaries decoupled from local cost of living; competitive total compensation for senior analysts working from any state.

Total compensation at competitive tech and finance employers typically includes performance bonus (10–25% target), restricted stock units (RSU) vested over 3–4 years, signing bonus ($10,000–$50,000+ at FAANG), tuition reimbursement, conference and learning budget, and 401(k) match (often 6–9% of salary or 100% match up to 5–7%).

2026 Data Analyst Salary Projection

Data analyst pay has grown at a compound annual rate of 4.48% over the past five years, driven by the rapid expansion of data infrastructure across every industry, the embedded role of analytics in modern product/marketing/operations teams, AI-tooling adoption raising productivity baselines, growing demand for analytics engineering on the modern data stack (dbt, Snowflake, Databricks, Fivetran), and post-pandemic remote-work normalization that has expanded geographic access to high-pay roles. The Bureau of Labor Statistics projects employment for Data Analysts to grow 35% through 2033 — one of the fastest-growing U.S. occupations — keeping strong upward pressure on wages, especially for senior analysts with SQL+Python+modern-data-stack fluency.

A senior product analyst at a FAANG company in San Francisco can earn three to five times what an entry-level marketing analyst at a regional bank in rural Mississippi takes home — not because the work is more difficult, but because the employer's total compensation philosophy is different. Four factors explain almost all of that gap: industry and employer tier, skill stack and specialty, location and remote-work policy, and level progression and career path.

1. Industry and Employer Tier: The Single Largest Pay Driver

The single biggest pay-shaping decision for a data analyst is industry and employer tier:

• FAANG and tier-1 tech (Meta, Google, Apple, Amazon, Microsoft, Netflix, Stripe, Airbnb, NVIDIA, Salesforce, Adobe): highest reliable total compensation for data analyst roles. Base salaries 25–60% above non-tech mid-sized employers; bonus structures and equity vesting push total compensation substantially higher.
• Quant funds, trading firms, and quantitative research (Citadel, Jane Street, Two Sigma, D. E. Shaw, Renaissance, HRT, Jump Trading, DRW): the very top of the data analyst pay distribution; senior roles routinely reach the 99th percentile with bonus structures that frequently exceed base salary.
• Financial services (investment banks, asset managers, hedge funds, fintech): strong base + bonus structures at major employers (Goldman Sachs, Morgan Stanley, JPMorgan, BlackRock, Bridgewater, Citadel).
• Pre-IPO high-growth startups: base often slightly below FAANG plus pre-IPO equity with wide outcome distribution.
• Big tech consulting (Deloitte, Accenture, EY, KPMG, PwC, BCG, McKinsey): structured analyst-track roles with strong year-end bonus.
• Mid-sized tech and SaaS: mid- to upper-range base with modest equity; common landing spot for mid-career analysts.
• Healthcare, retail, manufacturing, and traditional enterprise: the broadest employer category; pay tracks regional norms with smaller bonus and equity components.
• Government and public sector (federal GS pay scale, state, county, municipal): stable pay with strong pension and PSLF eligibility; base lower than private sector at most levels but total benefits compelling for long-term careers.
• Non-profit and academic research: typically the lower end of the SOC distribution.

2. Skill Stack and Specialty

Entry-level data analysts working primarily in Excel and basic SQL start near the 10th percentile at $44,962. Senior analysts with stacked modern-data-stack and statistical/ML skills frequently reach the 90th percentile at $133,152:

• Foundational stack — SQL (universal requirement), Excel, Tableau, Power BI, Looker.
• Programming languages — Python (pandas, NumPy, scikit-learn) and/or R; Python dominates new hiring.
• Modern data stack tools — dbt (data build tool), Snowflake, Databricks, BigQuery, Redshift, Fivetran, Airflow, Looker; analytics engineers stacking these skills command above-base pay.
• Statistical and ML methods — A/B testing, causal inference, regression, classification, time series, clustering; advanced statistical analysts often progress into data scientist roles within the same SOC code.
• Domain specialty — product analytics (Amplitude, Mixpanel, Heap), marketing analytics (multi-touch attribution, MMM, CRM analytics), growth analytics, financial analytics, supply chain analytics, healthcare analytics, fraud analytics — each commands premium pay in employers with strong demand.
• Cloud platform certifications — AWS Certified Data Analytics — Specialty, Google Professional Data Engineer, Microsoft Azure Data Engineer Associate, Snowflake SnowPro, Databricks Certified Data Analyst — each supports above-base pay differentials.
• Tableau Desktop Specialist / Certified Associate / Certified Professional — Tableau certification stack widely held among BI-focused analysts.
• DAMA CDMP (Certified Data Management Professional) — data governance and master data management specialty credential.

3. Location and Remote-Work Policy

Metropolitan areas with high costs of living offer the highest nominal data analyst salaries. After adjusting using BEA Regional Price Parities, the real-dollar gap narrows but doesn't close. California, Washington, New York, Massachusetts, and Colorado lead even on a purchasing-power basis. Remote-work policy has fundamentally reshaped the geography of pay:

• National-band pay (geography-agnostic) — remote-first companies (GitLab, Automattic, Buffer, Zapier, Doist) and some FAANG remote roles pay national-band salaries that decouple from local cost of living, allowing analysts in low-cost metros to capture FAANG-tier compensation.
• Tiered geographic bands — many FAANG and large tech employers maintain tiered pay bands (Bay Area / Seattle / NYC / national tier-2 / national tier-3), creating meaningful regional pay variation within the same role.
• Hub city concentration — Bay Area, Seattle, NYC, Boston, LA, Austin, Denver, Chicago, DC concentrate FAANG, finance, and quant-fund roles; markets with multiple competitive employers support pay competition that raises base.
• Cost-of-living arbitrage — analysts in moderate-cost metros (Austin, Nashville, Raleigh, Portland, Phoenix, Salt Lake City, Atlanta) with national-band remote employers capture FAANG-tier compensation at substantially lower personal expenses.
• Hybrid mandates — many FAANG employers (Google, Amazon, Apple, Meta in 2024-2025) have implemented hybrid or full-RTO mandates; pay tiers concentrate around required-office cities.

4. Level Progression and Career Path

Data analyst compensation at competitive employers is heavily structured around level progression. The single biggest career-stage pay driver is reaching senior, staff, principal, or manager levels:

• Analyst I / Junior Analyst (L3–L4 at FAANG) — entry level; pay near the 10th–25th percentile of the SOC distribution.
• Analyst II / Data Analyst (L4–L5 at FAANG) — mid-career; pay near the median.
• Senior Data Analyst (L5–L6 at FAANG) — first major step change; pay reliably above median with full bonus and equity components.
• Staff Data Analyst / Lead Data Analyst (L6–L7 at FAANG) — IC track at top of bench analyst pay; reaches the 90th percentile.
• Principal Data Analyst / Distinguished Analyst (L7+) — top of bench IC distribution; reaches the 99th percentile of the SOC code at FAANG.
• Analytics Manager / Senior Manager / Director / VP of Analytics — management track; reaches the highest pay bands but is tracked under separate SOC codes for senior leadership.
• Pivot to Data Scientist track — many data analysts progress into data scientist roles within the same SOC code via additional ML/statistical specialization, typically driving meaningful pay step-up.
• Pivot to Analytics Engineer / Data Engineer track — adjacent roles (SOC 15-2031 / 15-1299) with strong demand and competitive pay at modern-data-stack employers.

For a complete city-by-city breakdown of data analyst salaries — including BLS percentile data (10th, 25th, 50th/median, 75th, 90th), local cost-of-living adjustments, and 2026 salary projections — browse the 1,675+ metro areas tracked in our dataset below.