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Statistical Analysis Jobs in California (NOW HIRING)

Alimentiv

Statistician

Ontario, CA · Remote

Analysis Services * Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into ...

Pharmapace, Inc.

Senior Statistician

San Diego, CA · On-site

$100K - $165K/yr

Develop and review statistical analysis plans, both for individual studies and integrated analyses for regulatory submissions * Review programming specifications and provide input to derivation rules ...

Intuitive

Lead Biostatistician

Sunnyvale, CA · On-site

Statistical Analysis Plans & Mock TLFs: Set the vision and direction for Statistical Analysis Plans (SAPs) and mock Tables, Listings, and Figures (TLFs) across the portfolio, defining the standards ...

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Showing results 21-40

All JobsStatistical Analysis JobsStatistical Analysis Jobs in California

Statistical Analysis information

See California salary details

$29.6K

$69.5K

$116K

How much do statistical analysis jobs pay per year?

As of Sep 11, 2026, the average yearly pay for statistical analysis in California is $69,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $79,900.00 per year, depending on experience, location, and employer.

What is statistical analysis?

Statistical analysis is the process of collecting, exploring, and interpreting large amounts of data to discover underlying patterns and trends. It involves applying mathematical techniques to summarize data, test hypotheses, and make informed decisions. Professionals use statistical analysis in fields like business, healthcare, social sciences, and engineering to support evidence-based conclusions and predict future outcomes. Common methods include descriptive statistics, inferential statistics, regression analysis, and hypothesis testing.

How does a statistical analyst typically collaborate with other departments within an organization?

Statistical Analysts regularly work with teams such as marketing, finance, product development, and operations to interpret data and provide actionable insights. They often participate in cross-functional meetings to understand departmental goals and ensure that their analyses align with business objectives. Effective communication of complex statistical findings to non-technical colleagues is a key part of the role, as is adapting analysis techniques to suit different project needs. This collaborative environment fosters both professional growth and a deeper understanding of the broader organization.

What are the key skills and qualifications needed to thrive as a statistical analyst, and why are they important?

To thrive as a Statistical Analyst, you need a solid background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or data science. Familiarity with statistical software like R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret and present complex data clearly. These skills ensure that analyses are accurate, actionable, and effectively support decision-making in various industries.

What is the difference between Statistical Analysis vs Data Analyst?

AspectStatistical AnalysisData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; certifications like SAS or SPSSDegree in Data Science, Statistics, or related; similar certifications often preferred
Work EnvironmentResearch labs, academic institutions, or industries focusing on data modelingBusiness settings, tech companies, or marketing firms analyzing data for insights
Employer & Industry UsageUsed across academia, healthcare, finance for in-depth data modelingCommon in corporate, retail, and tech sectors for reporting and visualization

While both roles involve working with data, Statistical Analysis focuses on developing and applying statistical models to interpret data, often requiring advanced statistical knowledge. Data Analysts primarily interpret data to generate reports and insights for business decisions. Both roles share similar credentials but differ in scope and application.

Do statisticians make a lot of money?

Statisticians typically earn a competitive salary, with median annual wages above the national average for all occupations. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher compensation.

What are the most commonly searched types of Statistical Analysis jobs in California?

The most popular types of Statistical Analysis jobs in California are:

What cities in California are hiring for Statistical Analysis jobs?

Cities in California with the most Statistical Analysis job openings:

Statistical Analysis jobs near you
Infographic showing various Statistical Analysis job openings in California as of August 2026, with employment types broken down into 79% Full Time, 17% Part Time, and 4% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $69,528 per year, or $33.4 per hour.

Assistant Statistician

Los Angeles, CA • On-site

UCLA Outpatient Clinics
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This job post has expired today. Applications are no longer accepted.

Job description

DescriptionAssists with the development of documentation and procedures to ensure compliance with regulatory agencies. Assists with entry-level statistical analysis to support research project or clinical trial.Hourly salary range: 33.09 - 65.77QualificationsBasic knowledge of statistics.Knowledge of basic and/or multivariate statistics.Knowledge of research design.Ability to conceptualize and construct tables and graphs.Basic knowledge of statistical and/or medical terminology.Basic ability to summarize statistical analyses for collaborator.Knowledge of statistical techniques.Ability to utilize database management software to run queries and extract dataAbility to construct databases.Ability to produce visual tools and dashboards that highlight the essential information from a project or study.Knowledge of basic office software and applications (e.g., Microsoft Office Suite, Google, Internet search engines, etc.).Ability to learn new statistical techniques and to adapt existing code to customize statistical analysis strategies. #J-18808-Ljbffr

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