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Predictive Analyst information

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$13

$45

$78

How much do predictive analyst jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for predictive analyst in California is $45.01, according to ZipRecruiter salary data. Most workers in this role earn between $29.66 and $57.44 per hour, depending on experience, location, and employer.

What is a predictive analyst?

A Predictive Analyst is a professional who uses data analysis, statistical techniques, and machine learning models to forecast future outcomes and trends for a business or organization. They collect and interpret large sets of data to identify patterns and make predictions that help guide strategic decisions. Predictive Analysts often work with various software tools and collaborate with other departments to improve business performance and anticipate future challenges or opportunities.

What are the key skills and qualifications needed to thrive as a predictive analyst?

To thrive as a Predictive Analyst, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, computer science, or economics. Proficiency with data analytics tools like Python, R, SQL, and machine learning platforms, as well as familiarity with data visualization software, is typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help you translate complex data findings into actionable business insights. These skills and qualifications are essential for delivering accurate forecasts that drive strategic decision-making and business growth.

How does a predictive analyst typically collaborate with other teams within an organization?

Predictive Analysts often work closely with cross-functional teams such as marketing, product management, and IT. They translate complex data findings into actionable insights for business decision-makers, requiring strong communication skills and the ability to present data visually. Collaboration may involve regular meetings to define project goals, share progress, and refine predictive models based on team feedback. This interdepartmental cooperation ensures that analytics align with overall business strategies and deliver measurable value.

What is the difference between Predictive Analyst vs Data Analyst?

AspectPredictive AnalystData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; often certifications in predictive modelingBachelor's in Data Analysis, Statistics, or related field; certifications in data visualization or analysis tools
Work EnvironmentAnalytical teams, data science departments, often in tech, finance, or healthcareBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed in industries requiring forecasting and predictive modeling, like finance, marketing, healthcareUsed broadly for data reporting, visualization, and descriptive analysis across industries

Predictive Analysts focus on building models to forecast future trends using statistical and machine learning techniques, while Data Analysts primarily interpret existing data to generate reports and insights. Both roles require strong analytical skills, but Predictive Analysts typically have more specialized training in predictive modeling and data science tools.

How do you become a predictive analyst?

To become a predictive analyst, you typically need a bachelor's degree in fields like statistics, mathematics, or data science. Developing skills in programming languages such as Python or R, understanding machine learning techniques, and gaining experience with data analysis tools are essential. Earning certifications in data analytics or machine learning can also enhance job prospects.

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

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

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

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

Predictive Analyst jobs near you
Infographic showing various Predictive Analyst job openings in California as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $93,630 per year, or $45 per hour.

Predictive Data Analyst

TPI Global Solutions

Los Angeles, CA • On-site

Other

Posted 5 days ago

Job description

Requisition # 913 Assignment View Sector Los Angeles County Contractor's Work Location Client-Health Services Position Title Predictive Data Analyst Labor Category Information Technology Job Category Miscellaneous/Niche/Other Number of Positions 1 Job Level 1 Submittal allowed per staffing agency 2 Priority Submittals allowed for this Requisition 50 Assignment Type Temporary Is a Livescan Required for Position? Yes Is this role located on-site, hybrid, or remote? Onsite Work Location Address 313 N. Figueroa St., Rm. 912, Los Angeles, CA, 90012 Assignment Details Target Start Date 09/04/2026 Target End Date 08/31/2027 Shift Standard Work Schedule Standard Tentative Shift Start Time Tentative Shift End Time Staffing Agency NTE (Not-to-Exceed) Bill Rate $ 63.48 Rate Unit Hour Estimated Regular Hours/Week 40.00 Travel Required No Estimated OT Hours/Week Travel % Travel Description(Domestic/International) Security Clearance None Position Details Background Checks Yes Position Description Miscellaneous/Niche/Other Skills Required Miscellaneous/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 Required Miscellaneous/ Niche/ Other Additional Experience Required Four (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 Required Miscellaneous/ Niche/ Other Additional Education Required A 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

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