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Executive Insurance Data Analytics Jobs in Kansas

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

The ability to translate business needs into practical data solutions If you've been looking for a role that combines insurance expertise, analytics, and process improvement, additional details are ...

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The ability to translate business needs into practical data solutions If you've been looking for a role that combines insurance expertise, analytics, and process improvement, additional details are ...

New

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 ...

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 ...

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Executive Insurance Data Analytics information

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 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.

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 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 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:

Reporting Data Analyst (Hybrid)

Siritech Solutions Corp

Topeka, KS โ€ข Hybrid

Full-time

Posted 26 days ago


Job description

Total Required Experience in Years:Minimum 13+ Years Overall, 10+ Years EDW/DWH, 7+ Years P&C Insurance, 5+ Years BI/Reporting Tools
Visa: H1/GC/ USC
Mode of Work:
Hybrid (3 Days Onsite)
Job Description:
Seeking an experienced Reporting Data Analyst to support enterprise reporting, data warehousing, analytics, and insurance data initiatives within a Property & Casualty (P&C) insurance environment. The ideal candidate should possess deep expertise in enterprise data warehousing, reporting, Workers Compensation, insurance data interpretation, Guidewire systems, SQL, dimensional modeling, and reporting architecture. This role requires acting as a Subject Matter Expert (SME) for enterprise insurance data, translating complex business processes into reporting structures, ensuring accurate data lineage, validating enterprise reporting outputs, and supporting analytics initiatives aligned with business objectives and regulatory requirements. The candidate will collaborate with business leaders, technical teams, and stakeholders to ensure reliable reporting, accurate warehouse data interpretation, and strong enterprise data governance practices.


Key Responsibilities:

  • Act as a Data and Domain SME across Property & Casualty insurance subject areas including policy, claims, billing, and financial systems
  • Demonstrate expertise in Commercial Lines including Workers Compensation, General Liability, Commercial Auto, Property, and Umbrella/Excess insurance domains
  • Collaborate with business stakeholders to gather, analyze, validate, and document reporting requirements and data extract needs
  • Translate insurance business processes into dimensional models, KPIs, business metrics, and enterprise reporting structures
  • Leverage Guidewire platforms including PolicyCenter, ClaimCenter, BillingCenter, Genius, and SAP to interpret enterprise data and establish lineage
  • Map policy lifecycle activities including submission, quote, bind, issue, endorsements, renewals, cancellations, and reinstatements into EDW structures
  • Analyze claims lifecycle data including reserves, recoveries, payments, and financial reporting metrics
  • Perform source-to-target mapping, data lineage analysis, transformation validation, and reconciliation across ETL and EDW environments
  • Develop, validate, and optimize complex SQL queries, reporting datasets, and views across enterprise warehouse environments
  • Ensure consistency, reconciliation, and accuracy between source systems and enterprise warehouse reporting layers
  • Review, certify, and validate reports for business accuracy, completeness, and compliance requirements
  • Investigate and resolve data discrepancies across source systems, ETL pipelines, reporting environments, and warehouse layers
  • Document business rules, metadata, data lineage, mappings, and reporting definitions
  • Support User Acceptance Testing (UAT), defect analysis, reporting enhancements, and production reporting support
  • Educate stakeholders on reporting interpretation, governance standards, and enterprise data usage best practices


Additional Responsibilities:

  • Support enterprise reporting governance, insurance analytics, and business intelligence initiatives
  • Collaborate with senior business leaders and cross-functional technical teams on strategic reporting efforts
  • Provide SME-level guidance on insurance data interpretation and enterprise reporting architecture
  • Facilitate stakeholder discussions and explain complex data concepts to technical and non-technical audiences
  • Support continuous improvement efforts for reporting quality, data governance, and warehouse optimization


Required Skills:

  • Minimum 13+ years of experience as a hands-on Reporting/Data Analyst in enterprise environments
  • Minimum 10+ years of experience working with Enterprise Data Warehousing (EDW/DWH) solutions
  • Minimum 7+ years of Property & Casualty (P&C) Insurance experience, preferably Commercial Lines
  • Strong domain expertise in Workers Compensation and claims analytics
  • Minimum 5+ years of experience with BI and reporting tools such as Power BI and MicroStrategy
  • Hands-on experience with Guidewire (PolicyCenter, ClaimCenter, BillingCenter), Genius, and SAP
  • Advanced SQL experience working with large-scale enterprise data warehouses
  • Strong understanding of data lineage, traceability, dimensional modeling, source-to-target mapping, and reporting architecture
  • Proven experience reconciling data between enterprise transactional systems and warehouse environments
  • Strong stakeholder communication, documentation, analytical, and problem-solving skills


Qualifications:

  • Strong experience working in enterprise insurance, data warehousing, and reporting environments required
  • Recognized SME-level expertise in Insurance Data and Data Warehousing preferred
  • Ability to work independently in complex and ambiguous environments required
  • Canada Citizen or Permanent Resident required


Education:

  • Bachelors degree in Computer Science, MIS, or related field (or equivalent experience) required


Certifications:

  • Power BI certification preferred
  • Data Warehousing or Business Intelligence certification preferred