Choose from a wide range of CV templates and customize the design with a single click.
Use ATS-optimised CV and resume templates that pass applicant tracking systems. Our CV builder helps recruiters read, scan, and shortlist your CV faster.
Use professional field-tested resume templates that follow the exact CV rules employers look for.
Create CV
Use professional field-tested resume templates that follow the exact CV rules employers look for.
Create CVIf you’re searching “data analyst salary US” or wondering how much does a data analyst make in the United States, the answer is: it depends heavily on experience, specialization, industry, and how well you position yourself during the hiring process.
As a recruiter and compensation strategist, I’ll break down not just salary ranges, but how companies actually decide what to pay you, how top candidates earn significantly more, and what you can do to increase your total compensation.
This guide goes beyond averages and shows real hiring dynamics, salary bands, and negotiation leverage in today’s US market.
Entry-Level Data Analyst: $55,000 – $75,000
Mid-Level Data Analyst: $75,000 – $105,000
Senior Data Analyst: $100,000 – $140,000
Lead / Principal Data Analyst: $130,000 – $170,000+
Average base salary (overall): $85,000 – $95,000
However, base salary alone is misleading. In high-paying industries (tech, finance), total compensation often exceeds these ranges significantly.
Most candidates focus only on base salary. Recruiters and hiring managers think in total compensation (TC):
Base Salary: Fixed annual pay
Bonus: Typically 5% – 20% (performance or company-based)
Equity: RSUs or stock options (mainly in tech companies)
Mid-Level Data Analyst (Tech Company):
Base: $95,000
Bonus: $10,000
Equity: $20,000/year
$55,000 – $75,000
Top candidates (strong SQL, Python, internships): $75,000 – $85,000
Recruiter insight: Entry-level salaries are highly standardized. Negotiation leverage is limited unless you bring strong technical skills or multiple offers.
$75,000 – $105,000
High-demand candidates (SQL + Python + BI tools): $100,000 – $120,000
At this level, your tool stack and business impact begin to drive salary differences.
$100,000 – $140,000
Total Compensation: $125,000
Senior Data Analyst (FAANG / Big Tech):
Base: $130,000
Bonus: $20,000
Equity: $50,000/year
Total Compensation: $200,000+
Key Insight:
Candidates who understand equity and negotiate it properly can increase compensation by 30–80% without changing base salary.
Top performers (owning analytics strategy): $140,000 – $160,000+
This is where compensation diverges significantly. Some analysts remain at $110K while others break $150K+ depending on:
Stakeholder influence
Revenue impact
Industry
$130,000 – $170,000+
With equity-heavy packages: $180,000 – $220,000+
At this level, you're competing with data scientists and analytics managers for compensation.
$95,000 – $150,000 base
Strong equity packages
Why it pays more:
Data directly drives product decisions and revenue growth.
$85,000 – $130,000
High bonuses (10% – 30%)
Why: Data analysts contribute to trading, risk, and forecasting.
Lower pay, but stable and often less competitive.
Strong demand for analysts tied to marketing and customer analytics.
Lower pay but strong benefits and job security.
San Francisco / Bay Area: $110,000 – $160,000
New York City: $95,000 – $140,000
Seattle: $100,000 – $145,000
Austin: $80,000 – $115,000
Chicago: $80,000 – $110,000
Remote salaries are now banded nationally, but:
Top remote roles still align with high-cost markets
Lower-tier companies anchor salaries to lower regions
Key Insight:
Remote work increased salary transparency, but also created wider pay gaps between top-tier and average employers.
$80,000 – $115,000
Tools: Tableau, Power BI
$100,000 – $140,000
High impact, high demand
$75,000 – $110,000
Focus on attribution, funnels
Key Insight:
Specialization is one of the fastest ways to increase salary. Generalists consistently earn less.
Every company has predefined salary ranges tied to levels:
Analyst I
Analyst II
Senior Analyst
Lead Analyst
You are not negotiating freely. You are negotiating within a band.
If a company budgets $95K but finds a strong candidate:
They may stretch to $105K
Or increase equity instead
High demand skills:
SQL (non-negotiable)
Python
Data modeling
Stakeholder communication
These directly increase your salary ceiling.
Candidates who can say:
“I improved conversion by 18%”
…will always out-earn those who only describe tasks.
Weak positioning:
Strong positioning:
High ROI skills:
SQL (advanced joins, optimization)
Python (pandas, automation)
Data visualization (Tableau, Power BI)
Experimentation (A/B testing)
Typical salary growth:
Internal raise: 3% – 8%
Job switch: 15% – 35%
Tech
FinTech
SaaS companies
Recruiters typically present:
Base salary (fixed)
Bonus (semi-flexible)
Equity (most flexible)
Equity
Signing bonus
Job level
Base salary often has limited flexibility.
Weak Example:
“I was hoping for a bit more.”
Good Example:
“Based on market data and my experience, I was expecting a total compensation package closer to $120K–$130K. Is there flexibility on base or equity?”
Best moment to negotiate:
After offer
Before acceptance
Worst moment:
Year 1: $65,000
Year 3: $85,000
Year 5: $110,000
Year 8+: $140,000+
Top 10%:
Many analysts plateau because they:
Stay too long in reporting roles
Don’t specialize
Avoid stakeholder-facing work
High earners move toward:
Product analytics
Data science
Analytics leadership
Demand remains strong but more competitive at entry level
AI tools are increasing expectations, not reducing salaries
Hybrid roles (analyst + engineer) command premium pay
Key Trend:
The gap between average and top-tier analysts is widening rapidly.
The data analyst salary in the US is not just about averages. It’s about positioning, specialization, and understanding how compensation decisions are made.
Top candidates don’t just accept offers. They:
Understand compensation structure
Negotiate strategically
Align with high-paying industries
If you approach your career like a market asset instead of just a job seeker, your earning potential increases dramatically.
Upload CV
Import from Linkedin
