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Manager Predictive Analytics Jobs (NOW HIRING)

## Director, Procurement Intelligence & Predictive Analytics, GlobalApplylocations: Remote - UStime ... Additional duties as assigned by Management.**Job Requirements*** Bachelor's degree in Data Science ...

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Manager Predictive Analytics information

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$64.5K

$125.3K

$179K

How much do manager predictive analytics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for manager predictive analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is a manager predictive analytics?

A Manager Predictive Analytics is a professional responsible for overseeing teams and projects that use statistical techniques, machine learning, and data analysis to forecast future trends and support business decision-making. They manage the development and implementation of predictive models, ensuring data quality and actionable insights for their organization. In addition to technical expertise, they coordinate with stakeholders to align analytics initiatives with business goals and often mentor data analysts or data scientists within their team.

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

To thrive as a Manager Predictive Analytics, you need a strong background in statistics, data analysis, and predictive modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, and familiarity with machine learning platforms, as well as relevant certifications like SAS or AWS Certified Machine Learning, is typically expected. Outstanding leadership, communication, and problem-solving skills help in leading teams and translating complex insights for stakeholders. These abilities ensure data-driven decision-making, effective project management, and impactful business outcomes.

What are the main challenges faced by a manager predictive analytics, and how can they be addressed?

A Manager of Predictive Analytics often encounters challenges such as ensuring data quality, bridging communication gaps between technical teams and business stakeholders, and keeping up with rapidly evolving analytical tools and techniques. Addressing these challenges requires fostering strong cross-functional collaboration, implementing robust data governance practices, and encouraging continuous learning among team members. Additionally, setting clear project objectives and maintaining alignment with business goals can help deliver actionable insights and maximize the impact of predictive analytics initiatives.

What is the difference between Manager Predictive Analytics vs Data Scientist?

AspectManager Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often managerial certificationsBachelor's or Master's in Data Science, Statistics, or related field; sometimes PhDs
Work EnvironmentLeads teams, manages projects, collaborates with business unitsDevelops models, analyzes data, experiments with algorithms
Employer & Industry UsageBusiness, finance, marketing, healthcare organizationsTech companies, research institutions, finance, healthcare

While both roles focus on data analysis, the Manager Predictive Analytics oversees teams and strategic projects, whereas Data Scientists primarily develop models and conduct in-depth data analysis. The manager role emphasizes leadership and project management, often requiring experience in analytics tools and business acumen, while Data Scientists focus on technical expertise in algorithms and programming.

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Infographic showing various Manager Predictive Analytics job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

Predictive Analytics Analyst Sr.

Clearwater, FL • On-site

Frank Winston Crum Insurance
Insurance Services • 51 - 200 employees

$81K - $107K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

FrankCrum is a Top Workplace!

Frank Winston Crum Insurance (FWCI) issues Workers’ Compensation and General Liability policies by offering flexible coverage and payment options to meet the varied needs of businesses. Over the years, FWCI has grown from a single-state insurance carrier to one that is licensed in 37 states and continues to expand. In addition to regional and product line growth, FWCI has enhanced its value-added services. What has not changed though is the firm’s commitment – echoed throughout the family of companies – “always to do the right things for the right reasons!”

The Role You’ll Play to Create Success

We are excited to announce our search for a full-time on-site Senior Predictive Analytics Analyst. In this role, you will contribute to the mission of FrankCrum by independently applying advanced actuarial, statistical, and predictive analytics methodologies to develop and maintain insurance pricing models, evaluate profitability, and support strategic business decisions. The role partners with leaders across the organization to analyze emerging risks, improve pricing strategies, support rate filings, and deliver data-driven insights that promote profitable growth.

  1. Analyzes data, such as premiums, losses, exposure, and claims experience, to identify trends, emerging risks, evaluate profitability across all lines of business, and recommend strategies to improve financial performance.
  2. Develops, maintains, and enhances insurance pricing models, rating methodologies, and pricing analyses to support profitable growth, rate adequacy, and competitive market positioning.
  3. Collaborates with various departments to implement and maintain predictive and pricing models that inform business decisions using actuarial, statistical, and data science techniques.
  4. Collaborates with the Product Department and external actuarial consulting firm on rate filings, form filings, pricing analyses, and other regulatory or product initiatives.
  5. Interprets and analyzes internal and external data to identify trends, opportunities, and emerging risks affecting underwriting results and profitability.
  6. Utilizes actuarial techniques, predictive modeling, and analytical tools to evaluate pricing performance, create reports, and provide actionable insights to senior leadership.
  7. Prepares special studies, analyses, and recommendations related to pricing, profitability, reserving support, product performance, and other strategic initiatives.
  8. Assesses complex data systems and analytical programs, ensuring data integrity while supporting ad hoc requests and management reporting.
  9. Runs and documents financial and actuarial analyses and assists in the preparation of monthly, quarterly, and annual reporting.
  10. Participates in workflow automation efforts and develops processes, procedures, and analytical best practices to improve operational efficiency.
  11. Communicates regularly and effectively with team members, business partners, and leadership, presenting analytical findings and recommendations in a clear and actionable manner.
The Attributes We Seek
  1. Bachelor’s degree in Mathematics, Statistics, Computer Science, Actuarial Science, Finance, Economics, or a related field required.
  2. Three (3) years of relevant insurance/analytical/actuarial experience, especially pricing, preferred.
  3. Strong analytical, quantitative, statistical, and problem-solving skills.
  4. Experience extracting, cleansing, validating, and analyzing large insurance datasets.
  5. Ability to demonstrate proficiency in Excel, SQL (Azure EDW), Python, BI tools, and related software required.
  6. Experience with Workers’ Compensation, Commercial General Liability, commercial package, or Excess & Surplus (E&S) lines, preferred.
  7. Experience with predictive models such as generalized linear models (GLMs), machine learning, and/or predictive modeling software (such as Akur8), strongly preferred.
  8. Experience with ratemaking and rate adequacy techniques (indications, loss/premium trend, on-leveling, dislocation, impact analysis, scenario testing), strongly preferred.
  9. Experience in leveraging AI and company approved analytical tools (such as Copilot, Claude, Akur8, Python) to improve modeling accuracy, automate workflows, increase operational efficiency, and enhance decision-making.
Our Competitive Benefits

Along with this great opportunity, FrankCrum also provides exceptional benefits from top carriers including:

  • Health Insurance is zero dollarpaycheck cost for employee's coverage and a low cost for family plan.
  • Dental and Vision Insurance
  • Short Term Disability and Term Life Insurance at no cost to the employee
  • Long Term Disability and Voluntary Term Life Insurance
  • Supplemental insurance plans such as Accidental, Critical Illness, Hospital Indemnity, Legal Services and Pet Insurance
  • 401(k) Retirement Plan where FrankCrum matches 100% of the first 4% the employee contributes, and the employee is immediately vested in the employer match
  • Flexible Spending Accounts for Medical and Dependent Care Reimbursement
  • Health Savings Account funded by FrankCrum
  • Paid time off and holiday pay
  • Education BenefitProgram at the IRS Maximum allowance
  • PTO cash out
  • Tickets at Work
  • Access to the Corporate America Family Credit Union
  • Employee and client referral bonus programs
  • Disaster Relief Fund for employees
What’s Special About FrankCrum

FrankCrum, a family-owned business-to-business entity since 1981 made of several companies: FrankCrum Corporate (a professional employer organization), FrankCrum Staffing, Frank Winston Crum Insurance Company, and the FrankCrum Insurance Agency - all based in Clearwater, Florida. This “family of employer solutions” employs approximately 400 people who serve over 4,000 clients throughout the United States. FrankCrum employees are trained to deliver high value through exceptional customer service and treat clients and coworkers like family. By living by our Brand Pillars (Integrity, Affinity, and Prosperity) employees are recognized at quarterly events for exceptional customer service and milestones in tenure.

The FrankCrum headquarters spans 14 acres and includes a cafe, subsidized for employees. Menus include made-to-order breakfast, hot lunch options and even dinners that can be ordered to-go, all at very affordable prices. The cafe also plays host to monthly birthday and anniversary celebrations, eating and costume contests, and yearly holiday parties. Through the input of its own employees, The Tampa Bay Times has recognized FrankCrum as a Top Place to Work for more than 10 years in a row! FrankCrum also supports several community efforts through Trinity Café, the Homeless Empowerment Program, and Clearwater Free Clinic!

FrankCrum is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy‑related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.

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