1

Data Analysis Jobs in California (NOW HIRING)

Operations Data Analyst

Dublin, CA · On-site

$49.65 - $50/hr

Manage data analysis projects from initial requests through reporting and presentation. * Process, cleanse, analyze, and validate data for accuracy. * Develop automated data routines and reporting ...

Bachelor's degree in Data Science, Statistics, Computer Science, or related field * 1-3 years of experience in data analysis (preferred) * Strong knowledge of Excel, SQL, and data visualization tools ...

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Conduct data analysis, data integration, and data management * Identify and develop new data sources and structure data models for monthly performance analysis and annual budgeting and forecasting

Conduct data analysis, data integration, and data management * Identify and develop new data sources and structure data models for monthly performance analysis and annual budgeting and forecasting

Good at data analysis * Should be able to build BI dashboards using Tableau & Power BI * Candidate should be able to assist business stakeholders in building their dashboards * Supply chain domain ...

Data Analyst

Santa Ana, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsible for data analysis related to AMO post-market product complaints and reporting on trends to ensure compliance to all applicable Corporate and Divisional policies and procedures.

... data analysis 3.    Should be able to build BI dashboards using Tableau & Power BI 4. Experience in Databricks, AWS and Python 5.    Candidate should be able to assist business ...

Data Analysis and Presentation: Utilize data analysis techniques to gather, interpret, and present key institutional metrics, ensuring effective communication of findings to diverse stakeholders ...

Utilize data analysis techniques to gather, interpret, and present key institutional metrics, ensuring effective communication of findings to diverse stakeholders through reports, dashboards, and ...

Data Analyst

Vallejo, CA · On-site

$74K/yr

Utilize data analysis techniques to gather, interpret, and present key institutional metrics, ensuring effective communication of findings to diverse stakeholders through reports, dashboards, and ...

By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who ...

Utilize data analysis techniques to gather, interpret, and present key institutional metrics, ensuring effective communication of findings to diverse stakeholders through reports, dashboards, and ...

Our company provides application analysis, design, development and programming, software ... of Data Analysis experience. 2) Should have very good experience on Data Profiling and Data ...

Showing results 21-40

Data Analysis information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data analysis jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analysis 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 data analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves using statistical and logical techniques to interpret raw data and identify patterns or trends. Data analysts often use specialized software and tools to visualize and report their findings, helping organizations make data-driven decisions.

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

To thrive as a Data Analyst, you need strong statistical knowledge, data manipulation skills, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst. Critical thinking, attention to detail, and clear communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for extracting meaningful patterns from data, driving business decisions, and ensuring data-driven strategies.

What are some common challenges data analysts face when working with cross-functional teams?

Data analysts often collaborate with cross-functional teams such as marketing, engineering, and finance, which can present challenges in aligning on goals and ensuring clear communication. Differences in technical expertise and priorities may require analysts to translate complex data findings into actionable insights for non-technical stakeholders. Building strong relationships and proactively clarifying project objectives can help overcome these challenges and lead to more impactful analysis.

What is the difference between Data Analysis vs Data Analysis?

AspectData AnalysisData Analysis
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQL, or TableauBachelor's degree in related field, certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentOffice settings, remote work, data-driven teamsOffice settings, remote work, data-driven teams
Industry UsageFinance, marketing, healthcare, techFinance, marketing, healthcare, tech
Common Search/ComparisonData AnalysisData Analysis

Data Analysis involves examining data sets to uncover trends and insights, often using tools like Excel, SQL, or Tableau. It is a fundamental role across industries such as finance, healthcare, and marketing. The term is broad and often used interchangeably with related roles, but it primarily focuses on interpreting data to support decision-making.

What does a data analysis do?

A data analyst collects, processes, and interprets large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to present findings clearly and accurately. Strong analytical skills and attention to detail are essential for this role.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and data visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of job is a data analyst?

A data analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail. The role typically involves interpreting large datasets and presenting findings to stakeholders.

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

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

What cities in California are hiring for Data Analysis jobs?

Cities in California with the most Data Analysis job openings:

Infographic showing various Data Analysis job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Sustainment Data Science & Analysis Support

JSL Technologies Inc.

San Diego, CA • On-site

Full-time

Re-posted 3 days ago


Job description

Sustainment Data Science & Analysis Support
San Diego, CA
About Us:
JSL Technologies, Inc. (JSL) is a certified Small Disadvantaged Business (SDB) and Veteran-Owned government contractor delivering engineering, logistics, and program support services to the Department of Defense (DoD). Our team of more than 200 professionals is dedicated to providing practical, innovative, and cost-effective solutions that support critical missions.
Headquartered in Oxnard, California, JSL supports government customers across the nation. We foster a culture built on integrity, collaboration, and accountability, empowering our employees to perform at a high level and continuously improve the way we serve our customers.
At JSL, our people are the foundation of our success. We offer competitive compensation and a comprehensive benefits package that supports the well-being and professional growth of our team.
Job Description:
JSL Technologies is seeking an entry-level Data Scientist to support Navy engineering and sustainment programs through Python-based data analysis, automation, visualization, and analytical tool development. This position is well suited for a recent college graduate with strong Python programming skills and an interest in applying data science techniques to equipment reliability, maintenance, readiness, and sustainment challenges. Prior Navy, Reliability, Availability, Maintainability, and Cost (RAM-C), logistics, or sustainment experience is not required. The selected candidate will receive exposure to Navy systems, data sources, analytical processes, and reliability terminology while working with experienced engineering and logistics personnel at the Government facility in San Diego, California.
• Develop, maintain, and improve Python scripts used to collect, clean, organize, validate, and analyze engineering, maintenance, logistics, readiness, and operational data.
• Work with structured and unstructured datasets to identify trends, patterns, anomalies, and data-quality issues.
• Automate repetitive data-processing, reporting, and visualization activities using Python and related analytical libraries.
• Support the development of dashboards, charts, reports, and other data products used by engineering and program stakeholders.
• Apply statistical analysis, machine learning, predictive analytics, or other data-science methods under the guidance of senior technical personnel.
• Assist experienced engineers and analysts in evaluating reliability, availability, maintainability, cost, readiness, and sustainment data.
• Support senior engineers and analysts in developing and evaluating RAM-C and supportability products, including reliability models, failure analyses, repair-level analyses, sparing analyses, and readiness metrics. Prior experience with these products is not required.
• Support the preparation of technical reports, readiness summaries, recurring status reports, and presentation materials.
• Document data sources, analytical methods, assumptions, code, and results so analyses are understandable and repeatable.
• Collaborate with engineers, logisticians, maintenance personnel, program personnel, and other stakeholders to understand analytical requirements.
• Learn and use Government-provided systems and tools, which may include Advana Jupiter, JIRA, Tableau, and Navy maintenance or readiness databases.
• Become familiar with RAM-C concepts and analytical products such as Failure Modes, Effects and Criticality Analysis (FMECA), Level of Repair Analysis (LORA), Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), Mean Logistics Delay Time (MLDT), and sparing analysis through on-the-job training.
• Participate in technical meetings and design reviews and provide data-analysis support as assigned.
Requirements
Minimum Qualifications:
• Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future.
• Ability to obtain and maintain a U.S. Government Secret security clearance.
• Bachelor's degree in Data Science, Computer Science, Software Engineering, Computer Engineering, Mathematics, Statistics, Operations Research, Engineering, or a closely related technical discipline.
• Academic, internship, research, project, or professional experience developing software or performing data analysis using Python.
• Strong understanding of Python programming fundamentals, including data structures, functions, object-oriented programming, debugging, and code documentation.
• Experience using common Python data-analysis libraries such as pandas, NumPy, SciPy, scikit-learn, Matplotlib, or comparable libraries.
• Ability to clean, transform, analyze, and visualize data from multiple sources.
• Basic understanding of statistics, data modeling, machine learning, or predictive analytics.
• Ability to communicate analytical results clearly through written reports, visualizations, and presentations.
• Ability to learn unfamiliar engineering, reliability, logistics, and Navy terminology.
• Ability to work collaboratively with engineers, analysts, logisticians, and Government personnel.
• Ability to work on-site at the Government facility in San Diego, CA.
Preferred Qualifications:
• Internship, academic, research, or project experience involving Python-based data analysis, automation, machine learning, or predictive modeling.
• Experience working with large, incomplete, or inconsistent datasets.
• Experience using Git or another version-control platform.
• Experience with SQL, relational databases, APIs, cloud-based analytics platforms, or data visualization tools.
• Experience with Tableau, Power BI, or comparable visualization tools.
• Coursework or project experience related to reliability engineering, maintenance analytics, operations research, logistics, or equipment sustainment.
• Familiarity with Department of Defense or Navy programs is beneficial but not required.
• Familiarity with JIRA, Advana Jupiter, FMECA, LORA, MTBF, MTTR, MLDT, or availability analysis is beneficial but not required.
Security Clearance:
Applicants must have an active security clearance and/or the ability to obtain and maintain a US Government Security Clearance. Selected candidates will be subject to a government security investigation and must meet eligibility requirements to obtain a DoD Government-granted security clearance. Individuals will be subject to a background investigation to include but not limited to, criminal history, employment and education verification, drug testing, and creditworthiness.
EEO:
JSL Technologies, Inc. is an equal opportunity employer. We provide equal employment opportunities to all qualified applicants and employees without discrimination with regard to race, religion, creed, color, sex, sex stereotype, pregnancy, childbirth or related medical conditions, age, sexual orientation, gender, gender identification and expression, transgender status, transitioning employees, physical or mental disability, medical condition, genetic characteristics, genetic information, marital status, registered domestic partner status, status as military, or as a veteran or as a qualified disabled veteran, ancestry, citizenship, national origin.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed must be representative of the knowledge, skills, minimum education, training, licensure, experience, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Please contact HR@jsltechinc.com if you need accommodation for the application process.
Salary Description
$65,00.00-$75,00.00 Yearly