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Remote Insurance Data Analytics Jobs in Kansas (NOW HIRING)

Sedgwick

Data Engineer AI

Overland Park, KS · On-site +1

$108K - $130K/yr

... Services & Insurance Data Engineer AI Role Overview As a Senior Data Engineer within the ... LI-TS1 #remote Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

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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

Data Analytics Project Manager(Medicaid Exp must)

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Topeka, KS • Remote

$49 - $66.25/hr

Full-time

Posted 12 days ago

Job description

Medicaid Exp must- please dont submit if you dont have Medicaid exp---Medicaid exp is must
Job Title: Data Analytics Project Manager
Location: U.S. (with travel to Springfield, IL 1 2 times per
year)
As a Project Manager in Data Analytics, youll lead strategic initiatives including implementation and operations that make healthcare data accessible, secure, and actionable. Youll work in a high-performance culture that values innovation, collaboration, and continuous improvement, an ideal environment to do your lifes best work.
Key Responsibilities:

Lead Data-Driven Projects: Based on the Project Management Institute (PMI), Project Management Body of Knowledge (PMBOK), manage the full lifecycle of data warehouse and analytics initiatives, ensuring alignment with client goals and business outcomes.
Drive Strategic Execution: Oversee project planning, resource forecasting, risk mitigation, and delivery using PMI PMBOK and Agile methodologies.
Foster Stakeholder Engagement: Build strong relationships with clients, end users, and cross-functional teams to gather requirements, resolve issues, and ensure satisfaction.
Ensure Quality and Compliance: Review deliverables, enforce standards, and manage change control and contract compliance.
Communicate and Collaborate: Facilitate meetings, status reporting, and executive updates while promoting a culture of transparency and accountability.
Mentor and Inspire Teams: Lead and motivate direct and matrixed resources, promoting knowledge sharing and continuous improvement.
Required Qualifications:

Bachelors degree in computer science, Data Analytics, or related field (or equivalent experience)
5+ years of experience managing complex data analytics or BI projects, preferably in healthcare
Proven experience with data warehousing, reporting tools (e.g., Tableau, Power BI), and stakeholder management
Strong communication, leadership, and problem-solving skills
Commitment to continuous learning and process improvement
Preferred Qualifications:

Masters degree in public health, Administration, or Data Analytics
PMP or CBIP certification; Agile/Scrum experience
Experience with Medicaid programs, MMIS, and federal reporting (e.g., CMS 64, T-MSIS)
Familiarity with tools such as Teradata, Informatica, SAS, Business Objects, and Microsoft Project
Experience managing contracts over $5M and leading change/risk management efforts

This is a remote position.