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Remote Insurance Data Analytics Jobs in Springfield, MO

DataAnnotation

SDLC Engineer - AI Trainer

Springfield, MO · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

DataAnnotation

QA Engineer - AI Trainer

Springfield, MO · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

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All 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 Jun 30, 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 June 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $103,582 per year, or $49.8 per hour.

Entry-Level Wealth & Retirement Advisor (Remote)

Traction Forge Financial

Springfield, MO • Remote

Full-time

Posted 14 days ago

Job description

Traction Forge Financial, powered by the strength of Global Financial Impact (GFI), is expanding throughout Missouri and seeking motivated, entrepreneurial-minded individuals interested in building a career in financial services while helping individuals and families create stronger financial futures.

This opportunity is ideal for individuals looking for professional growth, flexible income potential, and the ability to make a meaningful impact within their local communities.

No prior financial services experience is required. We provide training, mentorship, and support throughout the licensing process.

Responsibilities
  • Educate clients on retirement, wealth protection, and financial strategies
  • Conduct financial needs analyses
  • Help develop personalized financial game plans
  • Build long-term relationships with clients and families
  • Utilize virtual and digital platforms to support client needs
  • Participate in ongoing training and professional development
Ideal Candidates
  • Motivated and self-driven
  • Strong communicators who enjoy helping people
  • Entrepreneurial and growth-minded
  • Coachable and team-oriented
  • Willing to obtain financial licensing

Backgrounds in hospitality, customer service, leadership, sales, business, or finance are helpful, but not required.

What We Offer
  • Flexible remote work environment
  • Comprehensive training and mentorship
  • Leadership and advancement opportunities
  • Supportive team culture
  • Opportunity to build a long-term professional career while serving families across Missouri
Qualifications
  • Must be a Legal U.S. Resident, Citizen, or hold a valid Work Permit with SSN
  • Life Insurance License preferred
    • Willingness to obtain licensing within 14 days if not currently licensed
  • Soft background check required


Qualifications

Minimum 18 years of age

Legal U.S. Resident, Citizen, or Work Permit with SSN

Soft background check required

Able to complete licensing requirements within 14 days