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Predictive Analytics Jobs in California (NOW HIRING)

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Build forecasting models, predictive analytics, and actionable segmentation to support marketing and sales planning, targeted communications, journey analysis, prioritization, and strategy.

Build forecasting models, predictive analytics, and actionable segmentation to support marketing and sales planning, targeted communications, journey analysis, prioritization, and strategy.

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Showing results 21-40

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.

ANALYTICS MANAGER

Rohnert Park, CA • On-site

Graton Resort & Casino
Gambling Activities • 1 - 5K employees

Full-time

This job post has expired today. Applications are no longer accepted.


Graton Resort & Casino rating

8.6

Company rating: 8.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Position Summary:
The Analytics Manager is responsible for delivering high-quality business intelligence solutions and analytics that support decision making and enhance EBITDA. The position leads analytical professionals and partners closely with leaders across the organization to provide actionable data-driven insights.
Essential Functions:
1. Responsible for redefining hospitality at Graton Resort & Casino while living, supporting, and promoting our values.
2. Perform responsibilities in accordance with all Graton Resort & Casino standards, policies, and procedures.
3. Ensure high-quality, timely delivery of analytics and business intelligence including reports, dashboards, and ad hoc analysis using tools such as Fabric, Power BI, SQL, Excel, and / or Python.
4. Contribute to development and execution of the analytics roadmap including predictive modeling and prescriptive analytics as well as migration and modernization of existing reporting. Champion adoption of new analytics methodologies and tools (e.g., Microsoft Fabric).
5. Lead, develop, coach, hire, onboard, and evaluate Team Members, fostering a culture of excellence, curiosity, continuous learning, and professional growth.
6. Collaborate with business leaders and other stakeholders to translate analytical needs into scalable data and BI solutions, while providing timely, insightful decision support and diagnostic analytics.
7. Partner closely with the IT Data & Architecture Team to continually enhance the integrated Medallion data model supporting reporting, analytics, and predictive modeling across the organization.
8. Establish and reinforce BI development standards and best practices, including semantic models, DAX, report design, validation, and workspace governance.
9. Establish and maintain data quality and governance standards, ensuring accuracy, consistency, and integrity across all reporting and analytical outputs.
10. This job description is not an exclusive or exhaustive list of all job functions that a team member in this position may be asked to perform from time to time. Duties and responsibilities may be changed, expanded, reduced, or delegated by Management to meet the business needs of the property.
Required Qualifications:
1. Ability to communicate effectively with Guests, Team Members and Management in both written and verbal form.
2. Bachelor's degree in Analytics, Data Science, Business, Hospitality, or a related field, or equivalent experience.
3. Five (5) or more years of progressive experience in analytics, business intelligence, or finance.
4. Strong analytical skills using a variety of data analysis tools (e.g., Excel, SQL, Power BI, Tableau, and / or Python). Ability to translate complex analytical outputs into clear, concise, actionable insights for non-technical audiences.
5. Extensive, hands-on SQL proficiency, including the ability to write and evaluate complex queries, optimize for performance, and define scalable data transformations.
6. Proficiency in Power BI, including data modeling, report and dashboard design, DAX, and workspace administration.
7. Demonstrated ability to manage competing priorities and deliver results in a fast-paced, deadline-driven environment.
8. Strong business and financial acumen. Strategic focus with a track record of defining and shaping initiatives and outcomes aligned to business objectives.
9. Must be able to handle sensitive information with discretion.
Preferred Qualifications:
1. Two (2) or more years in a people leadership role, managing analytics professionals.
2. Hands-on experience developing, deploying, and supporting predictive analytics (e.g., forecasting, classification, clustering) using statistical models or machine learning techniques.
3. Working knowledge of modern data warehousing concepts including Medallion architecture and familiarity with cloud-based analytics platforms (Microsoft Fabric a plus).
4. Prior experience in gaming and / or hospitality, including familiarity with industry-specific transactional systems and databases (e.g., IGT Advantage, InfoGenesis, LMS).
Physical Requirements:
1. Ability to sit for prolonged periods while working on a computer, manual dexterity to operate a computer keyboard and mouse, and visual acuity to analyze data on screens or printed reports for extended periods.

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