1

Senior Insurance Data Analytics Jobs in Kansas (NOW HIRING)

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

Top of market salary + equity Steadily is hiring a Sr Insurance Product Analyst in the Kansas City ... Develop and implement robust data-driven action plans to continually improve performance. * Assist ...

Top of market salary + equity Steadily is hiring a Sr Insurance Product Analyst in the Kansas City ... Develop and implement robust data-driven action plans to continually improve performance. * Assist ...

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

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

Sr Insurance Product Manager

Overland Park, KS ยท On-site

$125K - $165K/yr

Top of market salary + equity RELOCATION ASSISTANCE PROVIDED Steadily is hiring a Senior Insurance ... Drive Profitability & Growth by making data-driven decisions that put profitability first while ...

Experienced/Senior Data Scientist

Wichita, KS ยท On-site

$98K - $162K/yr

The candidate must have good technical/analytical problem-solving skills as well as good ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Experienced/Senior Data Scientist

Wichita, KS ยท On-site

$98K - $162K/yr

The candidate must have good technical/analytical problem-solving skills as well as good ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Sr Insurance Product Manager

Overland Park, KS ยท On-site

$125K - $165K/yr

Top of market salary + equity RELOCATION ASSISTANCE PROVIDED Steadily is hiring a Senior Insurance ... Drive Profitability & Growth by making data-driven decisions that put profitability first while ...

Senior Data Engineer

Overland Park, KS ยท On-site

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Overland Park, KS ยท On-site

$100K - $136K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Overland Park, KS ยท On-site

$103K - $140K/yr

Intrepid Direct Insurance (IDI) is a rapidly growing direct to consumer property and casualty ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Leawood, KS ยท On-site

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

next page

Showing results 1-20

Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a Senior Insurance Data Analytics professional, and why are they important?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a Senior Insurance Data Analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

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

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by Senior Insurance Data Analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.
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 Senior Insurance Data Analytics jobs? Cities in Kansas with the most Senior 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