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data analytics consultant Salary in california

Based on 23 active job postings in california  ·  Updated 2026

Min Salary
$135,000
per year
Average Salary
$135,000
per year
Max Salary
$135,000
per year
Jobs Found
23
active listings

✨ AI Compensation Insight SALARY INSIGHTS

Generating real-time market insights and estimated salary range for data analytics consultant in california...

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Open data analytics consultant Jobs in california 23

Data Analytics Consultant
Amplytico San Jose, California
$135000 / per year Full Time
Remote Healthcare Data Analytics Consultant
Arthur J. Gallagher & Co. (AJG) Glendale, California Remote
Full Time
Data Analytics Consultant - Client-Focused Data Strategy
Dormont Manufacturing Co Los Angeles, California
Full Time
Health Data Analytics Consultant
Blue Shield of California San Francisco, California
Full Time
Pharma Data Analytics Consultant — AI & Insights
PwC Irvine, California
Full Time
Pharma Data Analytics Consultant - Travel-Heavy, High-Impact
PwC South Africa Irvine, California
Full Time
Remote Vegetation Data & Analytics Consultant
Tech Net Inc Sacramento, California Remote
Full Time
Senior Cloud Revenue & Data Analytics Consultant
Akraya, Inc. Sunnyvale, California
Full Time
Senior Data Analytics Consultant: Strategy & Visualization
Qvest US Los Angeles, California
Full Time
Data Analytics Consultant II — Hybrid/Travel
EY Irvine, California
Full Time
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data analytics consultant Salary FAQ

What is the average data analytics consultant salary in california?
Based on 11 recent job postings, the average annual salary for a data analytics consultant in california is approximately $135,000, with a range of $135,000 – $135,000.
How do I negotiate my data analytics consultant salary?
Research comparable roles in your area, document your accomplishments, and arrive at negotiations with data. Use total compensation (base + bonus + equity + benefits) as your benchmark, not just base pay.
What factors affect data analytics consultant compensation in california?
Key factors include years of experience, technical certifications, company size (startup vs. enterprise), industry (tech vs. finance vs. healthcare), and whether the role is remote-first or on-site in a high cost-of-living metro.