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Predictive Analyst Jobs in California (NOW HIRING)

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 ...

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 ...

... improve predictive analytics, and inform trade-space decisions that balance near-term readiness with longer-term capability objectives, including Fleet legacy platform/systems sustainment and ...

To manage a business in an intelligent way SAS is a software suite that gives you predictive analysis and keeps data secured. Job Responsibilities: * Develop procedures to full automated the ...

To manage a business in an intelligent way SAS is a software suite that gives you predictive analysis and keeps data secured. Job Responsibilities: * Develop procedures to full automated the ...

Showing results 41-60

Predictive Analyst information

See California salary details

$13

$45

$78

How much do predictive analyst jobs pay per hour?

As of Sep 7, 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:

Infographic showing various Predictive Analyst job openings in California as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $93,630 per year, or $45 per hour.

SalesOps & Business Analytics Specialist - Remote

YO AI Labs

Palo Alto, CA • Remote

$100 - $140/hr

Full-time

Posted 11 days ago


Job description

Sales Ops & Business Analytics Specialist

Job Type: Full-time
Location: Remote

Job Summary

We are seeking a Sales Operations & Business Analytics Specialist to improve CRM operations, pipeline visibility, forecasting, and business reporting. The role focuses on turning sales data into actionable insights and scalable processes.

Key Responsibilities
  • Manage and optimize CRM operations, data quality, workflows, and reporting.
  • Monitor sales pipelines and support forecasting.
  • Build dashboards and analyze sales performance, conversion, and quota attainment.
  • Develop forecasting models using historical and predictive data.
  • Support sales tools, processes, and CRM improvements.
  • Provide data-driven recommendations to leadership and cross-functional teams.
  • Conduct ad hoc analysis for KPIs, incentives, lead generation, and business operations.
Requirements
  • 2–4+ years in Sales Operations, Revenue Operations, Business Analytics, or related roles.
  • Experience with CRM platforms; HubSpot preferred.
  • Strong Excel/Google Sheets skills.
  • Experience with SQL and/or BI tools such as Tableau, Looker, or Power BI.
  • Knowledge of forecasting, data modeling, and sales analytics.
  • Strong communication, analytical, and problem-solving skills.
Preferred
  • Advanced HubSpot proficiency/certification.
  • Experience with predictive analytics, forecasting, quotas, incentives, or KPI analysis.
  • Cross-functional analytics experience.