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Predictive Modeling Analyst Jobs in California (NOW HIRING)

Adobe

Sr. Manager, People Data Science

San Jose, CA · On-site

... analysis, AI usage, and predictive modeling • Scale insights through automation, tooling, and reusable frameworks • Build predictive models to forecast workforce outcomes and inform people ...

Quince

Staff Data Analyst

Palo Alto, CA

In this role, you will own measurement and analytics across our growth marketing channels, helping ... Apply statistical and predictive modeling techniques to improve marketing efficiency and ...

Ra

Health Analyst

Los Angeles, CA

As a healthcare analyst, you will be performing research/analysis based on the client data followed ... You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced ...

Ra

Senior Analyst

Los Angeles, CA

$94K - $125K/yr

We are awaiting to meet the excellent analytic specialist exactly like you. We would love to listen ... You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced ...

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All JobsPredictive Modeling Analyst JobsPredictive Modeling Analyst Jobs in California

Predictive Modeling Analyst information

See California salary details

$32.3K

$97.4K

$183.1K

How much do predictive modeling analyst jobs pay per year?

As of Jul 6, 2026, the average yearly pay for predictive modeling analyst in California is $97,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,201.00 and $123,382.00 per year, depending on experience, location, and employer.

What does a Predictive Modeling Analyst do?

A Predictive Modeling Analyst uses statistical techniques and data analysis tools to forecast future outcomes based on historical data. They build mathematical models to identify patterns and trends, helping organizations make data-driven decisions in areas like marketing, finance, and operations. Their work often involves cleaning data, selecting relevant variables, and evaluating the accuracy of their models to ensure reliable predictions.

Is predictive modeling difficult?

Predictive modeling as a role involves analyzing data, selecting appropriate algorithms, and validating models, which can be complex and requires strong analytical and technical skills. Proficiency in statistical software, programming languages like Python or R, and understanding of data science concepts are often necessary to succeed in this field.

What are the key skills and qualifications needed to thrive as a Predictive Modeling Analyst, and why are they important?

To thrive as a Predictive Modeling Analyst, you need strong statistical analysis, data mining, and mathematical modeling skills, typically supported by a degree in statistics, mathematics, computer science, or a related field. Proficiency with analytical tools and languages such as Python, R, SAS, and familiarity with data visualization software and databases is essential. Critical thinking, problem-solving, and effective communication are key soft skills that help convey complex findings to stakeholders. These skills and qualities are crucial for generating accurate predictions and actionable insights that drive strategic business decisions.

What jobs make $1,000,000 a year?

Predictive Modeling Analysts typically do not earn $1,000,000 annually; such high salaries are usually found in executive roles, successful entrepreneurs, or highly specialized positions in finance, technology, or investment banking. Top-tier executives, hedge fund managers, and certain tech entrepreneurs can reach or exceed this income level, often through bonuses, equity, or profit sharing. These roles require advanced skills, extensive experience, and often significant risk-taking or ownership stakes.

How does a Predictive Modeling Analyst typically collaborate with other departments within an organization?

Predictive Modeling Analysts often work closely with departments such as Marketing, Finance, Operations, and IT to understand business needs and deliver actionable insights. They translate complex statistical findings into clear recommendations, ensuring stakeholders from non-technical backgrounds can make informed decisions. Regular meetings, cross-functional project teams, and data-sharing platforms are common collaboration tools, making strong communication and teamwork skills essential. This collaborative approach not only improves model effectiveness but also helps align predictive analytics with overall business strategies.

What does a predictive analyst do?

A predictive modeling analyst uses statistical techniques and machine learning algorithms to analyze data and forecast future trends or behaviors. They develop models to support decision-making, often working with tools like Python, R, or SQL, and require strong analytical and problem-solving skills. Their work helps organizations optimize strategies and improve outcomes based on data insights.

Is 40 too late for data science?

Predictive Modeling Analysts and other data science roles do not have an age limit; many professionals start or transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses, certifications, and practical experience regardless of age.
Predictive Modeling Analyst jobs near you
Infographic showing various Predictive Modeling Analyst job openings in California as of June 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $97,365 per year, or $46.8 per hour.
Business Intelligence Analyst III

Business Intelligence Analyst III

Sutter Health

Sacramento, CA • On-site

$50.16 - $75.24/hr

Full-time

Posted 23 days ago

Sutter Health rating

8.3

Company rating: 8.3 out of 10

Based on 318 frontline employees who took The Breakroom Quiz

42nd of 877 rated healthcare providers

Job description

We are so glad you are interested in joining Sutter Health!

Organization:

Sutter Health Alliance - Valley

Position Overview:

* This position will be onsite in Sacramento 2 days per week.
* Power BI, SQL, SSRS, SSIS environment.
An advanced analytical professional who exercises independent judgment to solve complex business questions. Requires both domain or business and technical analytics expertise. As a deep domain subject matter expert, this role delivers actionable insights, and leads project teams to drive specific operational or financial decisions. This position is an independent professional contributor within their respective department or business unit. Bridges the gap between raw data and actionable strategy. Focuses on business value-leading business and technical requirements gathering, building rapid proofs-of-concept (POCs), and presenting data-driven recommendations to operational leaders. Working with minimal oversight, this role applies advanced analytical skills to novel business problems where no clear procedure exists and informally mentors junior team members.

Job Description:

EDUCATION:
[Equivalent experience will be accepted in lieu of the required degree or diploma

  • Bachelor's degree in Business Analytics, Healthcare Administration, Statistics, Economics, Finance, Computer Science, or a related field


TYPICAL EXPERIENCE:

  • 5 years recent relevant experience.

SKILLS AND KNOWLEDGE:

Progressive experience in Data Analytics, Business Intelligence, or a related analytical role.

Proven experience independently solving complex business problems using advanced analytics and predictive modeling.

Strong experience building advanced models and dashboards in a primary visualization tool (SSRS or Power BI).

Experience writing advanced SQL queries for complex data exploration and extraction.

Experience leading small-to-medium analytical projects.

Analytics: Advanced understanding of statistical analysis, forecasting, and predictive modeling concepts.

Tools: Advanced proficiency in data visualization platforms (SSRS, Power BI) or in application tools and advanced Excel modeling.

Data Access: Advanced SQL skills (SELECT, JOIN, GROUP BY, CTEs) for independent data extraction and exploration.

Communication: Excellent data storytelling and presentation skills; ability to influence non-technical stakeholders.

Problem Solving: Strong ability to exercise independent judgment and tackle novel, ambiguous business questions.

Job Shift:

Days

Schedule:

Full Time

Shift Hours:

8

Days of the Week:

Monday - Friday

Weekend Requirements:

As Needed

Benefits:

Yes

Unions:

No

Position Status:

Non-Exempt

Weekly Hours:

40

Employee Status:

Regular

Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.

Pay Range is $50.16 to $75.24 / hour

The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate's experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health's comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.

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