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Remote Insurance Data Analytics Jobs in Kansas (NOW HIRING)

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

The Director will manage a small team of data analysts and engineers and will work closely with an ... insurance. * 401(k) plan options * Paid time off, sick time, and paid holidays. * A fully remote ...

Advisors Excel

Annuity Marketing Data Intern

Topeka, KS · On-site +1

Distribution Data Analyst Location: Topeka, KS - Onsite Overview: If you enjoy a fast-paced ... It is on-site in our Topeka, KS office and not open to remote work. Additionally, please note that ...

Federal Home Loan Bank of Topeka

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Multiple health insurance offerings, including free telemedicine benefits * Paid Time Off: Vacation ...

Federal Home Loan Bank of Topeka

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Multiple health insurance offerings, including free telemedicine benefits * Paid Time Off: Vacation ...

JLL

Senior Analytics Specialist

Wichita, KS · Remote

Overlay client insights, market data, and research to enrich analytics and enable JLL solution ... Location: Remote -Atlanta, GA, Dallas, TX, Pensacola, FL, Tallahassee, FL, Wichita, KS If this ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Kansas

Remote Insurance Data Analytics information

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 the most commonly searched types of Insurance Data Analytics jobs in Kansas? The most popular types of Insurance Data Analytics jobs in Kansas are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Kansas? For Remote Insurance Data Analytics jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Kansas look for? The top searched job categories for Remote Insurance Data Analytics jobs in Kansas are:
What cities in Kansas are hiring for Remote Insurance Data Analytics jobs? Cities in Kansas with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in Kansas as of July 2026, with employment types broken down into 4% Internship, 83% Full Time, 9% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.
Data & Reporting Analyst

Data & Reporting Analyst

Healthsource Integrated Solutions Inc

Topeka, KS • Remote

Other

Medical, Dental, Retirement, PTO

Posted 10 days ago

Job description

Description

Job Title: Data & Reporting Analyst

Reports To: Executive Director / Director of Operations

Position Type: Full-Time, Exempt

Location: Kansas (Remote)


Position Summary

The Data & Reporting Analyst will lead the organization's transition into a data-informed not-for-profit. This position is responsible for extracting, analyzing, and visualizing clinical and operational data to meet rigorous state contract requirements and support advocacy efforts. The ideal candidate will transform raw clinical documentation into real-time, meaningful dashboards for internal leadership, funders, and stakeholders.


Key Responsibilities

  • Dashboard Development & Maintenance: Design, build, and maintain interactive, real-time dashboards and reports using native software tools (Tableau and Metabase).
  • Contract Compliance Reporting: Own the execution and timely delivery of all required state contract reports, ensuring absolute accuracy and compliance with state data standards.
  • Data Storytelling & Advocacy: Translate complex mental health data sets into scannable, clear visual stories and briefs for non-technical stakeholders, including board members, community partners, and funders.
  • Data Quality Assurance: Partner with clinical staff to audit data entry workflows, identify gaps in documentation, and implement standard data collection processes to improve data integrity.
  • Ad-Hoc Analysis: Respond efficiently to rapid-turnaround data requests from leadership and external funders with attention to funding cycle deadlines.
  • Strategic System Development: Evaluate current data workflows and provide recommendations on the future state of a centralized data repository to streamline multi-system reporting.

Benefits:

  • Our company pays 65% of health and dental insurance costs. 
  • We also provide 6 paid holidays, 4 float holidays and paid time off.
  • Our employees are eligible to participate in our 401k after their first year of employment.
  • We pay for CEUs through Relias, our Learning Management System. 

Physical Demands:

  • Frequently required to speak, write and memorize. 
  • Constantly required to talk, read, problem solve, see, hear and sit.
  • Push, pull, lift or carry twenty (20) pounds.
  • Occasionally required to bend, twist, squat, kneel, stand, walk or balance.

Additional Duties:

Additional duties and responsibilities may be added to this job description at any time. The job description does not state or imply that these are the only activities to be performed by the employee(s) holding this position. Employees are required to follow any other job-related instructions and to perform any other job-related responsibilities as requested by their supervisor.


Requirements

Qualifications & Skills

  • Experience: 2-4 years of experience in data analysis, business intelligence, or reporting, preferably within a healthcare, mental health, or non-profit setting.
  • Technical Proficiency: Strong proficiency in SQL and experience working with relational databases. Proven ability to extract, blend, and analyze data from multiple disparate software systems. Proven hands-on experience creating dashboards in Tableau and/or Metabase or related technologies.
  • Communication: Exceptional written and verbal communication skills; ability to explain the story behind the data to diverse audiences.
  • Mission Alignment: Understanding of or strong interest in community mental health services and the unique landscape of non-profit funding.
  • Candidates with experience using Python and/or ETL processes are highly encouraged to apply, but these skills are not required. 


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