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Executive Insurance Data Analytics Jobs in Kansas

Chubb

Data Analyst

Overland Park, KS · On-site

By leveraging your advanced analytics and SQL expertise, you'll transform data into actionable ... management, insurance, or related industries preferred About Us Chubb is a world leader in ...

Chubb

Data Analyst

Overland Park, KS

By leveraging your advanced analytics and SQL expertise, you'll transform data into actionable ... insurance, reinsurance, and life insurance to a diverse group of clients. The company is ...

Huyett

Senior Data Analyst

Minneapolis, KS · On-site

$72K - $96K/yr

Through time this role will continue to connect and network data analytics to the enterprise ... Full benefits, including free health insurance option for non-tobacco users * Generous paid-time ...

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Executive Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as an Executive Insurance Data Analytics, and why are they important?

To excel as an Executive in Insurance Data Analytics, you need expertise in statistical analysis, data modeling, insurance industry knowledge, and often an advanced degree in data science or actuarial science. Familiarity with analytics platforms like SAS, SQL, Python, and business intelligence tools, as well as certifications such as CPCU or data analytics credentials, are typically required. Strategic thinking, leadership, and strong communication skills help drive insights and influence organizational decision-making. These skills are crucial for transforming complex data into actionable strategies that enhance profitability and manage risk in the insurance sector.

How does the Executive Insurance Data Analytics role typically collaborate with other departments to drive business decisions?

In the Executive Insurance Data Analytics role, collaboration with departments such as underwriting, claims, and product development is essential. You will regularly work with cross-functional teams to interpret complex data, identify trends, and provide actionable insights that support strategic business decisions. Clear communication and the ability to translate analytics into business terms are key, as you will often present findings to both technical and non-technical stakeholders. This collaborative approach not only helps improve operational efficiency but also ensures data-driven decision-making across the organization.

What is an Executive Insurance Data Analytics professional?

An Executive Insurance Data Analytics professional is a senior leader who oversees the collection, analysis, and interpretation of data to guide decision-making within insurance organizations. They leverage advanced analytics, data science, and business intelligence to identify trends, assess risks, and optimize business strategies. Their role often involves setting data strategy, ensuring data quality, and communicating insights to stakeholders to improve profitability and efficiency. They typically collaborate with IT, actuarial, underwriting, and claims teams to drive data-driven transformation across the company.

What is the difference between Executive Insurance Data Analytics vs Insurance Data Analyst?

AspectExecutive Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related field; experience in insurance analyticsBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic, leadership-focused, often in management teamsOperational, data-focused, often in analytics teams
Employer & Industry UsageInsurance companies, consulting firms, risk management firmsInsurance companies, brokers, third-party analytics providers

Executive Insurance Data Analytics roles focus on strategic decision-making and leadership in insurance data projects, while Insurance Data Analysts handle data collection, analysis, and reporting at operational levels. Both roles require similar educational backgrounds but differ in scope and responsibility.

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 cities in Kansas are hiring for Executive Insurance Data Analytics jobs? Cities in Kansas with the most Executive Insurance Data Analytics job openings:
Executive 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 22 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.