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Predictive Analytics Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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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Showing results 1-20

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 10, 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.

Predictive Data Analyst

Los Angeles, CA • On-site, Remote

$1/hr

Full-time

Posted 29 days ago


Job description

Requisition # 913Assignment ViewSectorLos Angeles County  Contractor's Work LocationClient-Health ServicesPosition TitlePredictive Data AnalystLabor CategoryInformation Technology Job CategoryMiscellaneous/Niche/OtherNumber of Positions1Job Level1Submittal allowed per staffing agency2Priority Submittals allowed for this Requisition50Assignment TypeTemporary  Is a Livescan Required for Position?Yes Is this role located on-site, hybrid, or remote?OnsiteWork Location Address313 N. Figueroa St., Rm. 912, Los Angeles, CA, 90012  Assignment DetailsTarget Start Date09/04/2026Target End Date08/31/2027ShiftStandardWork ScheduleStandardTentative Shift Start Time Tentative Shift End Time Staffing Agency NTE (Not-to-Exceed) Bill Rate$ 63.48Rate UnitHour Estimated Regular Hours/Week40.00  Travel RequiredNoEstimated OT Hours/Week Travel % Travel Description(Domestic/International) Security ClearanceNone  Position DetailsBackground ChecksYesPosition DescriptionMiscellaneous/Niche/Other Skills RequiredMiscellaneous/Niche/Other Additional Skills Required(Position Description) The Predictive Data Analyst will support stakeholders by defining data needs and ensuring data science and advanced 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, including end-to-end predictive modeling from exploratory analysis to deployment and results interpretation. The Predictive Data Analyst will manage data through querying, merging, quality control, regular reporting, special project deliverables, and documentation. Additionally, the Predictive Data Analyst will collaborate with IT and data engineering staff to develop data pipelines, designs and maintains reports and dashboards, and will work directly with program staff to ensure analyses lead to actionable insights for decision-making and program improvement. The Predictive Data Analyst will serve as the Subject Matter Expert (SME) on cross-agency justice-involved datasets and managed care plan reporting, owning the associated business logic, query design, and report definitions. Functioning as a technical lead within a collaborative team structure, the Predictive Data Analyst will consult on the technical feasibility of project intakes, takes a lead role on Tableau dashboard development, or similar, and API reporting, and drives rigorous quality assurance. The Predictive Data Analyst will handle technical documentation and actively engages in team Agile/Scrum workflows by participating in daily stand-ups, backlog grooming, and sprint planning to commit to and deliver technical tasks. (Skills Required) The Predictive Data Analyst will possess knowledge and experience in predictive analytics and tool development; ability to work directly with a client-centric relational database; have strong technical knowledge to conduct analysis and build reports from an SQL database; comfortable with various analytical tools; ability to take the lead on projects where the best path forward is unclear; excellent interpersonal, oral and written communication skills; and exceptional customer service. Experience RequiredMiscellaneous/ Niche/ Other Additional Experience RequiredFour (4) years of experience with responsibility for planning, designing, conducting, and evaluating research projects involving the application of techniques of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to complex experimental designs, leading to actionable findings and recommendations. Education RequiredMiscellaneous/ Niche/ Other Additional Education RequiredA Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that includes 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis. Additional Information