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Data Mining Jobs in Riverside, CA (NOW HIRING)

Jobtailor

Senior Financial Analyst

Santa Ana, CA · On-site

$90 - $135/hr

Manage large data sets from disparate sources for data mining, analysis, and research projects * Develop complex financial models for what-if analysis, scenario planning, and M&A activities

New

Glidewell Dental

Data Engineer III

Irvine, CA · On-site

$119K - $160K/yr

High proficiency in Excel modeling, data mining, and scenario analysis * Highly analytical and quantitative, with strong attention to detail * Self-starter with excellent written and verbal ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Use statistical methods, data mining, and machine learning to uncover trends and patterns within the data * Prepare reports and presentations that effectively communicate your findings to both ...

Panasonic

Data Scientist IV

Irvine, CA · On-site

... mining. * Partner with business process experts and owners to build BI and leading indicators of operational benchmarks. * Mentor and guide the technical direction of junior data scientists ...

VSolvit, LLC.

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

Use statistical methods, data mining, and machine learning to uncover trends and patterns within the data * Prepare reports and presentations that effectively communicate your findings to both ...

Schoolsfirstfcu

Asset Liability Analyst II

Tustin, CA · On-site

Perform data mining, analysis, and reporting tasks as assigned. * Stay current with economic and fixed-income market trends. * Collaborate with senior analysts and other teammembers to ensure ...

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Showing results 21-40

All JobsData Mining JobsData Mining Jobs in Riverside, CA

Data Mining information

See Riverside, CA salary details

$53.2K

$73K

$92.8K

How much do data mining jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data mining in Riverside, CA is $73,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $88,700.00 per year, depending on experience, location, and employer.

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 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.

How much do data miners make?

Data miners typically earn between $50,000 and $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data analysis and tools like SQL or Python can earn higher salaries.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for advancement and specialization.

What are popular job titles related to Data Mining jobs in Riverside, CA?

For Data Mining jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Data Mining jobs in Riverside, CA look for?

The top searched job categories for Data Mining jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Data Mining jobs?

Cities near Riverside, CA with the most Data Mining job openings:

Data Mining jobs near you
Infographic showing various Data Mining job openings in Riverside, CA as of August 2026, with employment types broken down into 55% Full Time, 24% Part Time, and 21% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $73,028 per year, or $35.1 per hour.

Senior Financial Analyst

Jobtailor

Santa Ana, CA • On-site

$90 - $135/hr

Other

Posted 3 days ago

New

Job description

  • Develop, maintain, and deliver monthly and quarterly analyses, reports, and presentations
  • Ensure information accuracy, identify key points, and develop recommendations
  • Perform ad hoc analyses of financial and operational data for trends and variances
  • Present findings to business unit management
  • Create projections for budgeting and forecasting processes using historical trends and market and business changes
  • Identify trends and developments in competitive environments and present findings to management
  • Manage large data sets from disparate sources for data mining, analysis, and research projects
  • Develop complex financial models for what-if analysis, scenario planning, and M&A activities
  • Collaborate with team members and other departments
  • Perform other duties as assigned
Requirements
  • Bachelor's degree or equivalent combination of education and experience
  • MBA preferred
  • 4–7 years of experience in the field or related area
  • Expert knowledge of finance, economic and accounting principles and practices
  • Expert knowledge of financial markets, financial statements, valuation, and financial data analysis and reporting
  • Ability to understand, manipulate, and solve problems using mathematics on large data sets
  • Expert proficiency with Microsoft Office products, particularly Excel, PowerPoint, and Access
  • Proficiency with Oracle and Hyperion preferred
  • Complex problem-solving skills
  • Ability to organize, plan, prioritize, and accomplish work
  • Excellent written and verbal communication skills
  • Critical-thinking skills
  • Judgment and decision-making skills
  • Solid understanding of standard business concepts, practices, and procedures
Core Competencies

Demonstrates expert knowledge of finance, economic and accounting principles, and financial data analysis. Proficient in developing complex financial models and presenting findings to management while managing large data sets for analysis and research.

Highest-signal resume keywords
  • Expert Knowledge Of Finance
  • Financial Data Analysis And Reporting
  • Complex Problem-Solving Skills
  • Expert Proficiency With Microsoft Excel
  • Proficiency With Oracle And Hyperion
ATS Optimization KeywordsHard Skills
  • Financial Modeling
  • Data Analysis
  • Budgeting And Forecasting
  • Valuation
  • Data Mining
  • Scenario Planning
  • Trend Analysis
  • Financial Statements
  • M&A Activities
  • Mathematics Problem Solving
Soft Skills
  • Excellent Written Communication
  • Excellent Verbal Communication
  • Critical-Thinking Skills
  • Judgment And Decision-Making
  • Organizational Skills
Certifications & Qualifications
  • Bachelor's Degree
  • MBA Preferred
Industry Keywords
  • Financial Markets
  • Economic Principles
  • Accounting Principles
  • Business Concepts
  • Operational Data
Tools & Technologies
  • Microsoft Office
  • Excel
  • PowerPoint
  • Access
  • Oracle
  • Hyperion
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