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Data Analysis Jobs in California (NOW HIRING)

NIO

Data Analysis Intern

San Jose, CA

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

NIO

Data Analysis Intern

San Jose, CA · On-site

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

NIO

Data Analysis Intern

San Jose, CA · On-site

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

Akraya Inc.

Data Analysis Lead : 26-01763

Santa Clara, CA · On-site +1

$60 - $66/hr

We are seeking a Data Analysis Lead to join our team in a remote role, supporting our sales planning and execution from the United States, preferably in California. The successful candidate will ...

Mercor

Data Analysis Expert - Evaluator

San Francisco, CA · Remote

$80 - $120/hr

Data analysis / quantitative readouts Evaluator Type: Contract Compensation: $80-$120/hour Location: Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

ZURU

Data Analyst Intern

Los Angeles, CA · On-site

$20 - $25/hr

Perform preliminary data analysis to identify trends, patterns, and anomalies within large datasets using statistical tools and software. * Write and execute SQL queries to retrieve information from ...

ZURU

Data Analyst Intern

El Segundo, CA · On-site

$20 - $25/hr

Perform preliminary data analysis to identify trends, patterns, and anomalies within large datasets using statistical tools and software. * Write and execute SQL queries to retrieve information from ...

Retailcloud

Data Analytics Intern

Concord, CA · On-site

$60K - $70K/yr

... data analysis experts. • Demonstrated ability to independently determine and apply the most appropriate mathematical and statistical techniques to interpret data into meaningful insights and ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

QUANTUM TECHNOLOGIES LLC

Data Analyst

San Jose, CA · On-site

$80/hr

Use Python for data analysis, automation, and data quality checks. * Support data validation, troubleshooting, and root cause analysis. * Work with AWS services such as S3, Glue, and Athena to ...

Modern Technology Solutions

Data Analyst

Los Angeles, CA · On-site

$100K - $130K/yr

Provide strategic recommendations based on data analysis to inform program development, resource allocation, and policy decisions. Qualifications Required: * 3-8 years of experience in data analysis ...

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All JobsData Analysis JobsData Analysis Jobs in California

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:

Data Analysis jobs near you
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.

Data Analysis Intern

NIO

San Jose, CA

$38 - $46/hr

Full-time

Re-posted 14 days ago

Job description

JOB DESCRIPTION

About NIO

NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO's mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.

NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS.

NIO's product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6, a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET7, a smart electric flagship sedan, and the ET5, a mid-size smart electric sedan.

Roles and Responsibilities:

  • Curate, preprocess, and analyze training data for LLM projects
  • Assist in training, tuning, and evaluating language models for specific use cases
  • Develop and test Python code to interact with LLM APIs and internal tools
  • Participate in improving model workflows through research and implementation of new methods
  • Contribute to integration tasks, connecting AI models with external systems or applications
  • Collaborate with team members for project deliverables, documentation, and code reviews
  • Prepare research summaries or surveys on relevant topics in LLM and generative AI

Qualifications

  • Currently pursuing or recently completed a Master or PhD degree in Computer Science, Data Science, Engineering, or a related field
  • Experience with Python programming; knowledge of libraries such as PyTorch or TensorFlow is an advantage
  • Familiarity with API usage and/or web frameworks is preferred
  • Strong problem-solving mindset and willingness to learn
  • Excellent written and verbal communication skills
  • Previous project or coursework experience in LLMs, generative models, or AI research
  • Knowledge of prompt engineering, model fine-tuning, or related evaluation techniques
  • Experience working in a collaborative software engineering environment

Compensation:

The US base salary range for this full-time position is $38.00 - $46.00.

  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

  • Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits.

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