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Full Stack Data Analyst Jobs in California (NOW HIRING)

Stack Data Analysis Engineer Role and Responsibilities * Monitor and analyze data from critical components for yield, performance, and capacity increase activities * Develop engineering software tool ...

Stack Data Analysis Engineer Role and Responsibilities * Monitor and analyze data from critical components for yield, performance, and capacity increase activities * Develop engineering software tool ...

Full Stack/Java Developer(REMOTE)

Hayward, CA · On-site

$60.25 - $77.75/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions: Required skills: * Bachelors degree or masters degree in computer ...

Java React Full Stack Developer

Menlo Park, CA · On-site

$61.75 - $79.75/hr

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Java/Full-Stack Developer - Remote

San Diego, CA · On-site

$55.75 - $72/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions required skills: Bachelors degree or Masters degree in computer science ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Drive data quality, observability, governance, and documentation while helping teams adopt a self-serve analytics culture. Qualifications * 4+ years of experience in data engineering or a full-stack ...

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Showing results 1-20

Full Stack Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do full stack data analyst jobs pay per year?

As of Jul 1, 2026, the average yearly pay for full stack data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What job categories do people searching Full Stack Data Analyst jobs in California look for? The top searched job categories for Full Stack Data Analyst jobs in California are:
What cities in California are hiring for Full Stack Data Analyst jobs? Cities in California with the most Full Stack Data Analyst job openings:
Infographic showing various Full Stack Data Analyst job openings in California as of June 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 75% In-person, 15% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.
Full Stack Developer

Full Stack Developer

Focus America Inc.

Mountain View, CA • On-site

Other

Posted 12 days ago


Key responsibilities

  • Design and develop full-stack data analysis flow, including backend logic, database structures, data analysis queries, visualization, and responsive frontend web interfaces.

  • Consolidate data sources into a unified dashboard.

  • Explore data analysis and LLM integration features.


Job description

Job Description & Scope of Services

Role Summary

. Full Stack Developer to build and maintain an internal data platform, including

database design, backend infrastructure, database queries and data analysis, and a

web Ul to centralize characterization data.

Key Responsibilities

. Development: Design and develop full-stack data analysis flow, including backend

logic, database structures, data analysis queries, visualization, and responsive

frontend web interfaces.

. Data Management: Consolidate data sources into a unified dashboard and explore

data analysis and LLM integration features.

Requirements & Qualifications

. 4+ years of full-stack experience (Python, Node.js, or Go).

. Proficiency in SQL/NoSQL and modern JS frameworks (React, Vue, or Angular).

. Interest or experience in data analysis, and AI/LLM API integration (preferred).

Deliverables & Performance Metrics

. Development: Design and develop backend logic, database structures, data analysis

queries, visualization, and responsive frontend web interfaces.

. Data Management: Consolidate data sources into a unified dashboard and explore

LLM integration features.