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Predictive Analytics Jobs in California (NOW HIRING)

Vertisystem Inc.

Predictive Data Analyst

Los Angeles, CA · On-site

... analytics projects meet business objectives across various levels. The Predictive Data Analyst will use statistical programming languages and tools for data manipulation, analysis, and visualization ...

New

Ra

Customer Analytics Senior Manager

Orange, CA

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytics Senior Manager

Los Angeles, CA

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytics Senior Manager

Sacramento, CA

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

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All JobsPredictive Analytics JobsPredictive Analytics Jobs in California

Predictive Analytics information

See California salary details

$26.6K

$111.2K

$197.9K

How much do predictive analytics jobs pay per year?

As of Aug 15, 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 is a predictive analytics job description?

A predictive analytics job involves analyzing data to develop models that forecast future trends and behaviors. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to interpret data and support decision-making. Strong analytical skills and knowledge of data management are essential for success in this field.

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 do predictive analytics do?

Predictive analytics involves analyzing historical data to identify patterns and forecast future outcomes. In a predictive analytics role, professionals use statistical models, machine learning algorithms, and data visualization tools to support decision-making and improve business strategies.

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 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 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 job categories do people searching Predictive Analytics jobs in California look for?

The top searched job categories for Predictive Analytics jobs in California are:

What cities in California are hiring for Predictive Analytics jobs?

Cities in California with the most Predictive Analytics job openings:

Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in California as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, 2% Temporary, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $111,246 per year, or $53.5 per hour.

FVP, Predictive Analytics Management

Cake Mortgage Corp

Chatsworth, CA • On-site

$200K - $230K/yr

Full-time

Posted 8 days ago

Job description

CAKE Mortgage is a cutting-edge wholesale mortgage lender specializing in Non-QM products. We're redefining the lending experience with innovative programs, streamlined processes, and a commitment to speed and precision. As we grow, we're looking for forward-thinking professionals who thrive in fast-paced, collaborative environments.
The First Vice President (FVP), Predictive Analytics Management is responsible for leading the company's enterprise-wide predictive analytics strategy to drive business growth, improve operational efficiency, and support data-driven decision-making. This executive partners with senior leadership across Sales, Operations, Credit, Risk, Finance, Marketing, and Technology to develop advanced analytical models, forecasting tools, and business intelligence solutions that optimize performance and enhance customer outcomes.
The ideal candidate is an experienced analytics leader with expertise in predictive modeling, machine learning, statistical analysis, and data strategy, preferably within the mortgage lending or financial services industry.
Key Responsibilities
  • Develop and execute the organization's predictive analytics strategy aligned with business objectives.
  • Lead a team of data scientists, business analysts, and analytics professionals.
  • Build predictive models that improve loan performance, customer acquisition, lead conversion, pricing, retention, and operational efficiency.
  • Develop forecasting models for loan production, funding volumes, staffing, profitability, and market trends.
  • Partner with executive leadership to provide actionable insights that support strategic decision-making.
  • Collaborate with Sales, Capital Markets, Underwriting, Servicing, Risk, Finance, Marketing, and IT to identify analytical opportunities.
  • Design and maintain executive dashboards and KPI reporting.
  • Leverage AI, machine learning, and advanced statistical techniques to improve business outcomes.
  • Monitor model performance and continuously refine predictive algorithms.
  • Ensure data quality, integrity, governance, and security across enterprise analytics platforms.
  • Present findings and recommendations to executive leadership and board members.
  • Stay current on emerging technologies, predictive analytics methodologies, and industry best practices.
  • Support strategic initiatives including automation, digital transformation, and process optimization.

Requirements
  • Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Finance, or related field.
  • Master's degree or MBA preferred.
  • 12+ years of progressive experience in analytics, business intelligence, data science, or quantitative modeling.
  • 7+ years leading high-performing analytics teams.
  • Mortgage lending, banking, fintech, or financial services experience strongly preferred.
  • Strong knowledge of predictive modeling, forecasting, machine learning, and statistical analysis.
  • Experience with cloud data platforms and enterprise data architecture.
  • Exceptional executive communication and presentation skills.

Why Join CAKE Mortgage?
  • Be part of a fast-growing company changing the game in Non-QM
  • Competitive compensation and performance-based bonuses
  • Collaborative and entrepreneurial culture
  • Opportunities for career advancement and innovation

Cake Mortgage does not tolerate discrimination of any type. Cake Mortgage offers equal employment opportunity to all qualified persons without regard to race, age, color, religion, sex/gender, gender identity, sexual orientation, marital status, medical condition, military or veteran status, national origin, ancestry, disability, or any other considerations made unlawful by Federal, State, or Local law. Cake Mortgage provides eligible and qualified employees with opportunities to advance. Cake Mortgage is an at will employer. Cake Mortgage is committed to providing employees with a work environment free of discrimination and harassment.
Salary Description
$200,000.00 to $230,000.00/year

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