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Predictive Modeling Analyst Jobs (NOW HIRING)

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Utility Data and Modeling Analyst

Madison, WI · On-site

Develop advanced and custom predictive models (classification, regression, time series, neural ... Utility Planning, Policy Analysis & Technical Reporting * Support development of technical reports ...

NYULMC

Predictive Analytics Analyst

New York, NY · On-site

... Analyst. In this role, the successful candidate is responsible for leveraging advanced statistical ... This role designs and develops predictive models (e.g., for performance, turnover, and hiring ...

The Mutual Group

Senior Predictive Modeler

Iowa, LA · On-site +1

$120K - $200K/yr

Analytical Leadership: Serve as a subject matter expert on predictive modeling methodologies and best practices across the organization. * Identify opportunities for new data sources, modeling ...

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How much do predictive modeling analyst jobs pay per year?

As of Jul 5, 2026, the average yearly pay for predictive modeling analyst in the United States is $99,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $126,000.00 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.
What states have the most Predictive Modeling Analyst jobs? States with the most job openings for Predictive Modeling Analyst jobs include:
Predictive Modeling Analyst jobs near you
Infographic showing various Predictive Modeling Analyst job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $99,430 per year, or $47.8 per hour.
Predictive Modeling Actuary

Predictive Modeling Actuary

FBL Financial Group

West Des Moines, IA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

Predictive Modeling Actuary
Farm Bureau is looking for a strong data driven professional to join our team and help us live out our mission of protecting livelihoods and futures. In this role, you will perform statistical analysis as part of the predictive modeling team and assist in the delivery of pricing models and competitive research. Candidate must be local to the Des Moines area, or willing to relocate as at least three days in the office is required per week. Candidates must also have predictive modeling or actuarial experience.
Who We Are: At Farm Bureau Financial Services, we make insurance simple so our client/members can feel confident knowing their family, home, cars and other property are protected. We value a culture where integrity, teamwork, passion, service, leadership and accountability are at the heart of every decision we make and every action we take. We're proud of our more than 80-year commitment to protecting the livelihoods and futures of our client/members and creating an atmosphere where our employees thrive.
What You'll Do:
  • Develop, implement, and document predictive models
  • Interpret results to audiences of various technical knowledge
  • Test, validate, and correct / clean data as needed
  • Collaborate with managing actuaries on the pricing teams to deliver results

What It Takes to Join Our Team:
  • Associate of Casualty Actuarial Society (ACAS) preferred.
  • 1-3 years of actuarial work experience or predictive modeling experience required.
  • Must have strong skills with SQL, R, Emblem or other predictive modeling software.
  • Be team focused and be able to work in a collaborative work environment.
  • Strong communication and presentation skills.

What We Offer You: When you're on our team, you get more than a great paycheck. You'll hear about career development and educational opportunities. We offer an enhanced 401K with a match, low-cost health, dental, and vision benefits, and life and disability insurance options. We also offer paid time off, including holidays and volunteer time, and teams who know how to have fun. Add to that an onsite wellness facility with fitness classes and programs, a daycare center, a cafeteria, and for many positions, even consideration for a hybrid work arrangement. Farm Bureau....where the grass really IS greener!
Work Authorization/Sponsorship
Applicants must be currently authorized to work in the United States on a full-time basis. We are not able to sponsor now or in the future, or take over sponsorship of, an employment visa or work authorization for this role. For example, we are not able to sponsor OPT status.

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