1

Predictive Analytics Jobs in California (NOW HIRING)

Data Analytics Engineer

Brea, CA · On-site

$118K - $141K/yr

... and predictive analytics. Evaluate solutions based on measurable business value, accuracy, security, maintainability, and data quality. Continuous Improvement & Solution Ownership Use operational ...

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

... and predictive analytics. Evaluate solutions based on measurable business value, accuracy, security, maintainability, and data quality. Continuous Improvement & Solution Ownership Use operational ...

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

... predictive analytics. Evaluate solutions based on measurable business value, accuracy, security, maintainability, and data quality.Continuous Improvement & Solution OwnershipUse operational data to ...

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

Showing results 41-60

Predictive Analytics information

See California salary details

$26.6K

$111.2K

$197.9K

How much do predictive analytics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for predictive analytics in California is $111,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $121,400.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the most commonly searched types of Predictive Analytics jobs in California?

The most popular types of Predictive Analytics jobs in California are:

What are popular job titles related to Predictive Analytics jobs in California?

For Predictive Analytics jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Predictive Analytics jobs?

Cities in California with the most Predictive Analytics job openings:

Infographic showing various Predictive Analytics job openings in California as of September 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $111,246 per year, or $53.5 per hour.

Director of Analytics

Rancho Cucamonga, CA • On-site

Aspire General Insurance Company
201 - 500 employees

$165K - $225K/yr

Full-time

Posted 6 days ago


Job description

Description:

Director of Analytics

Aspire General Insurance Services (AGIS)


Lead Innovation. Drive Strategy. Transform Insurance Through Data.


Aspire General Insurance is seeking an experienced Director of Analytics to lead our analytics function and help shape the future of our business through data-driven decision making. This is a unique opportunity for a strategic, hands-on leader who can blend advanced analytics expertise with business acumen to drive measurable impact across underwriting, pricing, claims, distribution, and customer experience.


As a key leader within the organization, you will partner closely with executive leadership to develop analytical solutions that strengthen our competitive advantage, improve performance, and support long-term growth.


Strategic Leadership

  • Develop and execute Aspire's analytics strategy to support key business objectives.
  • Build intellectual property and analytical capabilities that create a sustainable competitive advantage.
  • Act as a trusted advisor to executive leadership, underwriting, actuarial, claims, product, and marketing teams.
  • Partner with Finance to evaluate ROI and measure the business impact of strategic initiatives.

Advanced Analytics & Data Science

  • Lead the development and implementation of predictive analytics, machine learning models, and advanced statistical solutions.
  • Drive initiatives related to pricing, underwriting, claims optimization, fraud detection, customer retention, and distribution analytics.
  • Ensure model governance, transparency, compliance, and regulatory alignment.

Team Leadership

  • Lead, mentor, and develop a high-performing team of Data Scientists and Analysts.
  • Foster a culture of innovation, collaboration, and continuous improvement.
  • Balance strategic leadership with hands-on technical involvement as a player-coach.

Cross-Functional Partnership

  • Partner with IT and Data Engineering teams to improve data accessibility, quality, and governance.
  • Define and monitor key performance indicators through dashboards and reporting.
  • Present findings, recommendations, and business insights to executive leadership.
  • Identify emerging technologies, tools, and external data sources to enhance business performance.

Required Qualifications

  • Bachelor's degree in Statistics, Data Science, Actuarial Science, Economics, Computer Science, or a related quantitative field.
  • 10+ years of analytics experience with at least 3 years in a leadership role.
  • Prior auto insurance industry experience required.
  • Proven success leading analytics teams and delivering measurable business outcomes.
  • Strong understanding of insurance regulations, rating compliance, and model governance.

Technical Expertise

  • Advanced experience with predictive modeling, machine learning, and statistical analysis.
  • Strong command of Python, SQL, R, and data visualization tools such as Power BI or Tableau.
  • Deep understanding of auto insurance data, including underwriting, claims, pricing, and distribution analytics.
  • Experience with cloud-based platforms such as Azure, AWS, or Databricks is preferred.

Leadership Competencies

  • Exceptional communication and stakeholder management skills.
  • Ability to translate complex analytics into business-focused recommendations.
  • Strong strategic thinking and business acumen.
  • Proven ability to influence decision-making at all levels of an organization.

Why Aspire?

At Aspire, data is at the center of our growth strategy. This role offers the opportunity to influence enterprise-wide decisions, lead innovative analytics initiatives, and work alongside talented leaders who value data-driven thinking.


What You'll Gain

  • Executive-level visibility and influence
  • Opportunity to build and scale analytics capabilities
  • High-impact leadership role within a growing organization
  • Collaborative, innovative culture
  • Competitive compensation and benefits package
  • Ability to shape the future of analytics in the auto insurance industry

Working Conditions

  • Hybrid work environment with flexibility based on business needs.
  • Fast-paced, technology-driven organization focused on innovation and continuous improvement.
  • Frequent collaboration with business leaders and cross-functional teams.
  • Occasional travel for company meetings, conferences, and strategic planning sessions.

Physical Requirements

  • Ability to work at a computer for extended periods while analyzing data, building models, and participating in meetings.
  • Frequent use of standard office and technology tools.
  • Ability to communicate effectively in both virtual and in-person environments.
  • Occasional standing, walking, and lifting up to 15 pounds.


Apply today and help drive the future of analytics at Aspire General Insurance.


Requirements: