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Remote Insurance Data Analytics Jobs in Springfield, MO

Legal Analyst

Springfield, MO ยท Remote

$40 - $60/hr

... flexibility of remote work and setting your own schedule. We are looking for a Legal Analyst ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Senior Legal Analyst

Springfield, MO ยท Remote

$40 - $60/hr

... remote work and setting your own schedule. We are looking for a Senior Legal Analyst (part-time ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Analyst, Growth

Springfield, MO ยท On-site +1

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

Financial Planner

Springfield, MO ยท Remote

$40 - $60/hr

... Insurance Planning. Benefits: * This a full-time or part-time REMOTE position * You'll be able to ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

... Insurance Planning. Benefits: * This a full-time or part-time REMOTE position * You'll be able to ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

... Insurance Planning. Benefits: * This a full-time or part-time REMOTE position * You'll be able to ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

M&A Associate

Springfield, MO ยท Remote

$40 - $60/hr

... Insurance Planning. Benefits: * This a full-time or part-time REMOTE position * You'll be able to ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Senior Software Engineer

Springfield, MO ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Backend Developer

Springfield, MO ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Back End Developer

Springfield, MO ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

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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 May 31, 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 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.

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 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.

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 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:
What cities near Springfield, MO are hiring for Remote Insurance Data Analytics jobs? Cities near Springfield, MO with the most Remote Insurance Data Analytics job openings:
Infographic showing various Remote Insurance Data Analytics job openings in Springfield, MO as of May 2026, with employment types broken down into 13% Internship, and 87% Full Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $103,582 per year, or $49.8 per hour.
Business Intelligence UWEP Internship - Fall 2025

Business Intelligence UWEP Internship - Fall 2025

United Soccer League (USL)

Springfield, MO โ€ข Remote

$14.25 - $18/hr

Other

Posted 8 days ago


Job description

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Onlyย  Semester: Fall 2025 Location: Remoteย 

Overview of the United Soccer League (USL)The United Soccer League (USL) is the heartbeat of American soccer. Impacting more than 200 communities across the United States, the USL is the first and only soccer organization in the United States to build a youth-to-professional pathway for both men and women within one ecosystem. That structure includes three professional leagues: Gainbridge Super League (women), USL Championship (men), and USL League One (men); two pre-professional leagues: USL League Two (men) and the USL W League (women); and two youth platforms: USL Academy and USL Youth. Authentic, vital, and exciting, the USL is dedicated to providing an inclusive and memorable soccer experience for players, fans, and communities across our growing "soccer nation."

Program Purpose

Under the direction and guidance of USL Executives and Leaders (mentors), the USL Work Experience Program (UWEP) provides students with the unique opportunity to gain practical sport management experience in a professional sports league setting. By working on various strategic projects and initiatives, UWEP participants will gain hands on experience with league staff as well as member teams.

Participants are tasked with and responsible for partnering within a specialized department but will interact with all league departments across the organization including business development, digital, club services, analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports.ย 

Position Purpose

Under the direction of the USL Technology & Data Strategy team, the Business Intelligence UWEP supports the department by assisting with maintaining and developing league-wide dashboards. The Participant will assume an integral role in the production of data analytics and distribution of the results.

Duties and Responsibilities

Specific duties include, but are not limited to:

  • Assist with the routine collection of data and updating of established Tableau dashboards.
  • Build Tableau dashboards to track performance in key metrics towards league goals and initiatives.
  • Identify opportunities to implement procedures for new data collection processes and/or data reporting.
  • Translate data across key revenue-driving verticals (e.g., ticketing, corporate partnerships, and consumer products) into targeted analyses, providing insights and recommendations to critical organizational stakeholders that lead to actionable business decisions.ย 
  • Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo.
  • Support ad-hoc requests for data; build reports, visualizations, executive dashboards, and presentations.
  • Act in a quality assurance role to ensure dashboards/reports are functioning correctly and to provide any recommendations for improvements.
  • Assist other departments and operational areas as requested to provide a well-rounded overview of working in sports.

Qualifications

  • Participants must be working towards a bachelorโ€™s or masterโ€™s degree in a related field and/or training and must certify that they are able to receive college course credit from an accredited college or university for their participation.
  • Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must.
  • Excellent verbal and written communication skills are required.ย 
  • Positive attitude and strong work ethic are a must. Must have a โ€œteam-firstโ€ mentality with an eagerness to learn.ย 
  • Should be extremely organized and detail oriented, with a focus on quality and consistency.ย 
  • While completing the USL Work Experience Program remotely, participants must have access to a computer or laptop with reliable internet connection.ย 
  • Familiarity of Tableau, or another data visualization software.
  • Familiarity of SQL, or other programming languages.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.