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Data Mining Jobs in California (NOW HIRING)

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

Knowledge and experience in statistical and data mining techniques: GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc Experience querying databases and using ...

Judit Inc

Sr. Data & Reporting Analyst

Santa Ana, CA · On-site

$89K - $112K/yr

Report automation & design The Sr. Data & Reporting Analyst is responsible for all points of data mining, extraction, manipulation, analysis, and reporting. Accountable for developing and reporting ...

(unknown company)

Data Scientist

Sunnyvale, CA

OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. - Knowledge of machine learning, information retrieval, data mining, statistics ...

(unknown company)

Data Scientist

Sunnyvale, CA · On-site

OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. - Knowledge of machine learning, information retrieval, data mining, statistics ...

TriOptus LLC

Data Analyst

El Segundo, CA · On-site

SQL (data mining, coding) * Excel (Big datasets and modeling) * Powerpoint (Visualization) * Flexibility/Fast-Learning * Communicability and detailing to the scope

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

Responsibilities : • Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by ...

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Showing results 21-40

All JobsData Mining JobsData Mining Jobs in California

Data Mining information

See California salary details

$50.3K

$69.1K

$87.8K

How much do data mining jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data mining in California is $69,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $83,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in data mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a data mining?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

What are the key skills and qualifications needed to thrive in data mining, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in California? The most popular types of Data Mining jobs in California are:
What are popular job titles related to Data Mining jobs in California? For Data Mining jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in California look for? The top searched job categories for Data Mining jobs in California are:
What cities in California are hiring for Data Mining jobs? Cities in California with the most Data Mining job openings:
Data Mining jobs near you
Infographic showing various Data Mining job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,083 per year, or $33.2 per hour.

[Mid Level] Data Analyst - Supply Chain Warehouse Reporting & Analytics (17536-1)

JND Inc.

Santa Ana, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
JND Inc. is a global industry leader seeking a Data Analyst to support warehouse reporting and analytics. The role involves data mining, analysis, and reporting on key performance indicators related to logistics and supply chain operations, while collaborating with cross-functional teams to drive performance improvement.
Responsibilities:
• Data & business analysis
• Data mining & extraction from multiple sources to build reports
• Daily, weekly, and monthly report generation
• Report automation & design
• Maintaining existing dashboards; weekly & monthly analysis and reporting
• Help drive critical business decisions through in-depth analysis; provide recommendations based on findings
• Develop models that help with decision-making
• Identify opportunities for performance improvement
• Publish standard and complex ad-hoc reports with varying detail for different audiences
Qualifications:
Required:
• Bachelor's Degree in Business Analytics, Engineering, Mathematics, Accounting, or related field
• Minimum 3 years of experience in reports and data analysis within logistics, distribution center, warehouse, and/or supply chain environments
• High proficiency in MS Excel (40%), SQL (35%), Access, BI Tools, and PowerPoint (25%) required
• Experience with SAP and WMS (Warehouse Management Systems) required
• Excellent analytical, decision-making, and problem-solving skills
• Strong data mining skills and experience extracting & manipulating data from multiple sources
• Strong verbal and written communication skills; ability to interact with all levels of management
• Results driven; ability to handle multiple projects and work independently without supervision
• Must be comfortable working in a multi-cultural business environment
Company:
We have been serving the IT community with innovative software technology to help clients successfully develop mobile software for the world market. Founded in 2010, the company is headquartered in Carrollton, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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