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Data Analyst Data Science Jobs in California (NOW HIRING)

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Analyze data and build analytical capabilities to improve the reliability and adversarial resilience of critical infrastructure. * Write code to implement and deploy data science solutions and ...

LLNL

Data Science Engineer

Livermore, CA

$134K - $161K/yr

Analyze data and build analytical capabilities to improve the reliability and adversarial resilience of critical infrastructure. * Write code to implement and deploy data science solutions and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Analyze data and build analytical capabilities to improve the reliability and adversarial resilience of critical infrastructure. * Write code to implement and deploy data science solutions and ...

Brex

Data Analyst II

San Francisco, CA · Hybrid

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

IrisLogic, Inc

Sr BA/ Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

No relocation 7+ years of experience as a Business Analyst, Data Analyst, or similar role with ... are, life sciences, diagnostics, or regulated environments Strong experience in Agile/Scrum ...

1 point system

Data Analyst

Sunnyvale, CA · On-site

Master's degree in data science, Statistics, Computer Science, Economics, or a related field. * 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics. * Proven ability ...

Glow Networks

Data Analyst

Mountain View, CA · On-site

Bachelor's degree in a quantitative field - Computer Science, Mathematics, Engineering or related fields; Master's preferred. * 6-9 years of work experience involving quantitative data analysis.

Infinity Marketing

Data Analyst

Riverside, CA · Remote

By means of data visualization, statistical analysis, and reporting, you will directly engage ... Work experience in a quantitative field like mathematics, statistics, computer science, economics ...

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Data Analyst Data Science information

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

What are popular job titles related to Data Analyst Data Science jobs in California?

For Data Analyst Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in California look for?

The top searched job categories for Data Analyst Data Science jobs in California are:

What cities in California are hiring for Data Analyst Data Science jobs?

Cities in California with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in California as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 83% In-person, and 17% Remote job distribution.