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Remote Insurance Data Analytics Jobs in Springfield, MO

DataAnnotation

FP&A Manager - AI Trainer

Springfield, MO · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Springfield, MO

Remote Insurance Data Analytics information

See Springfield, MO salary details

$22

$49

$85

How much do remote insurance data analytics jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote insurance data analytics in Springfield, MO is $49.80, according to ZipRecruiter salary data. Most workers in this role earn between $40.00 and $56.39 per hour, depending on experience, location, and employer.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
What are popular job titles related to Remote Insurance Data Analytics jobs in Springfield, MO? For Remote Insurance Data Analytics jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Springfield, MO look for? The top searched job categories for Remote Insurance Data Analytics jobs in Springfield, MO are:
Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in Springfield, MO as of July 2026, with employment types broken down into 2% Internship, 77% Full Time, 13% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $103,582 per year, or $49.8 per hour.

Actuarial Analyst (Remote)

memployersmins

Springfield, MO • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Are you early in your actuarial career and excited to turn data into meaningful business insights? MEM Insurance is seeking an Actuarial Analyst to join our growing Finance team. In this role, you will support pricing, reserving, and analytical initiatives that directly influence business decisions.
 
Working closely with the Actuarial Director and cross-functional partners, you’ll contribute to impactful analyses, develop your technical expertise, and build a strong foundation in workers’ compensation and property-casualty insurance. This is an excellent opportunity to grow your actuarial career in a collaborative, supportive environment where learning and curiosity are encouraged every day.
 
Essential Duties and Responsibilities:Actuarial & Pricing Support
  • Support quarterly reserve analyses, including preparing and validating data and analyzing claims trends such as frequency, severity, and loss development.
  • Assist with pricing activities, including data preparation for rate indications and class ratemaking.
  • Support rate implementation, testing, and rate filings, including analysis of NCCI loss cost filings.
  • Partner with Claims, Underwriting, and Compliance teams to gather inputs and support actuarial deliverables.
Data Analysis & Model Execution
  • Extract, clean, and validate data from multiple sources to support actuarial analysis.
  • Perform foundational statistical analyses and summarize results for actuarial review.
  • Maintain and update actuarial tools, models, and recurring reports.
  • Identify data inconsistencies or unusual trends and escalate appropriately.
Business Support & Insight Development
  • Respond to internal requests for data and analysis from cross-functional partners.
  • Assist in developing reports, dashboards, and tools that support underwriting and operational decisions.
  • Identify emerging patterns and trends in data and contribute to insight development.
  • Build foundational knowledge of insurance products, risk drivers, and business operations.
Communication & Collaboration
  • Prepare clear summaries, reports, and basic visualizations of analytical results.
  • Communicate findings in a structured and easy-to-understand way.
  • Collaborate with team members and stakeholders to support deliverables and timelines.
  • Incorporate feedback to continuously improve work quality and effectiveness.
Professional Development & Standards
  • Ensure work is accurate, well-documented, and aligned with actuarial and regulatory standards.
  • Progress toward actuarial credentials through exam completion.
  • Develop technical knowledge in actuarial methods, data analysis, and modeling.
  • Participate in training and development opportunities to build capability.
Qualifications:
  • Bachelor’s degree in Business Administration, Mathematics, Statistics, Insurance, Finance, Economics, or a related field required.
  • Progress toward actuarial credentials (minimum of 2 actuarial exams completed).
  • Workers’ compensation experience preferred.
  • No licenses required.
 
Company Culture and Values
At MEM Insurance, we are committed to our vision, mission, and values. We foster a culture of collaboration, integrity, and innovation. Our team is passionate about delivering exceptional service to our customers while supporting each other’s growth and success. We believe in accountability, continuous learning, and creating an environment where employees feel valued and empowered.
 
 Diversity Statement
MEM Insurance is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We believe that varied perspectives drive innovation and strengthen our ability to serve our customers and communities.
 
 Total Rewards Overview
  • Health Plans: Medical, Dental, and Vision
    Includes fertility benefits, fully paid preventative care, and adult orthodontia.
  • Annual Performance Based Bonus
  • Employer-Paid Life and Disability Benefits:
    Life Insurance (3x base salary), AD&D, Short and Long-term Disability.
  • Wellness and Recognition Program: Employer-paid incentives for employees and spouses.
  • Flexible Spending Account and Dependent Care options
  • Health Savings Account: Generous employer contribution.
  • Time Away from Work:
    Generous PTO, 11 Holidays + 4 Early Releases, 16 Hours Volunteer Time Off, 20 Days Paid Parental Leave, Marriage, Bereavement, and Jury Duty leave.
  • Employee Assistance Programs
  • 401k Retirement Plan: Employer match and profit sharing.
  • Adoption Assistance and Tuition Assistance
 
Notice Regarding Use of Artificial Intelligence
MEM may use artificial intelligence (AI) tools to more efficiently facilitate and assist in decisions involving recruitment, hiring, promotion, renewal of employment, selection for training or apprenticeship, discharge, discipline, tenure, or the terms, privileges, or conditions of employment. Any such use of AI tools will comply with all applicable laws.

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