1

Insurance Data Analyst Jobs in Kansas (NOW HIRING)

Be Seen First

Data Governance Manager

Salina, KS · On-site

$76K - $100K/yr

This individual works closely with business leaders, Information Services, Data Analytics, and ... Full benefits, including discounted health insurance options for non-tobacco users. * Best-in-class ...

Commercial Insurance Analyst

Overland Park, KS · On-site

$23.13 - $48.13/hr

The primary responsibility of the Commercial Insurance Analyst is to ensure compliance with the ... We combine our strength in technology and leadership in cloud, data and AI with unmatched industry ...

Named to Ward's 50 list of top-performing life-health insurance companies * Recognized on list of ... As a Senior Data Governance Analyst -- Unstructured Data & AI Readiness you will serve as a ...

Master Data Manager

Minneapolis, KS · On-site

$76K - $100K/yr

Full benefits, including discounted health insurance options for non-tobacco users. * Best-in-class ... Information Architecture & Analytics Enablement Partner with Information Services and Data ...

... data for all products, books and channels. * Manage rate filings in the states to ensure we are ... insurance product function at Steadily. * Competitive analysis / SERFF ninja Ideal Background

... data for all products, books and channels. * Manage rate filings in the states to ensure we are ... insurance product function at Steadily. * Competitive analysis / SERFF ninja Ideal Background

... data for all products, books and channels. * Manage rate filings in the states to ensure we are ... insurance product function at Steadily. * Competitive analysis / SERFF ninja Ideal Background

Data Engineer II

Topeka, KS

$107K - $129K/yr

Partner with business analysts, data analysts, technical SMEs, and cross-functional teams to gather ... Multiple health insurance offerings, including free telemedicine benefits * Paid Time Off: Vacation ...

Data Engineer II

Topeka, KS · On-site

$107K - $129K/yr

Partner with business analysts, data analysts, technical SMEs, and cross-functional teams to gather ... Multiple health insurance offerings, including free telemedicine benefits * Paid Time Off: Vacation ...

Data Engineer II

Topeka, KS · On-site

$100 - $125/hr

Partner with business analysts, data analysts, technical SMEs, and cross-functional teams to gather ... Voluntary life insurance * Incentive-based wellness program * Paid maternity and parent bonding ...

Showing results 21-40

Insurance Data Analyst information

See Kansas salary details

$30.3K

$73.7K

$121.3K

How much do insurance data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for insurance data analyst in Kansas is $73,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,500.00 per year, depending on experience, location, and employer.

What does an insurance data analyst do?

An Insurance Data Analyst is responsible for collecting, processing, and analyzing data related to insurance policies, claims, customer behavior, and market trends. They use statistical tools and software to identify patterns, assess risks, and provide actionable insights that help insurance companies make informed decisions. Their work supports pricing strategies, fraud detection, customer retention, and overall business performance. Insurance Data Analysts often collaborate with underwriters, actuaries, and business managers to optimize processes and improve profitability.

What are the key skills and qualifications needed to thrive as an insurance data analyst?

To thrive as an Insurance Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, and data visualization platforms, as well as knowledge of insurance-specific databases and certifications like CPCU or AIDA, is highly valued. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective support of business objectives in the insurance industry.

How does an insurance data analyst typically collaborate with underwriters and actuaries?

Insurance Data Analysts frequently work alongside underwriters and actuaries to provide data-driven insights that inform risk assessment and pricing decisions. Analysts gather, clean, and interpret large sets of policyholder and claims data, then present actionable findings through reports or dashboards. Regular meetings and joint projects ensure that underwriters and actuaries have the most accurate, up-to-date information to make decisions, and that data models align closely with business needs. Strong communication and teamwork skills are essential for success in this collaborative environment.

What is the difference between Insurance Data Analyst vs Actuary?

AspectInsurance Data AnalystActuary
Required CredentialsBachelor's degree in statistics, data science, or related field; often certifications like CAP or CPCUBachelor's degree in mathematics, statistics, or actuarial science; professional actuarial exams and credentials (e.g., ASA, FSA)
Work EnvironmentData analysis teams within insurance companies, focusing on data modeling and reportingActuarial departments, focusing on risk assessment, pricing, and reserving
Employer & Industry UsageInsurance companies, brokers, and consulting firmsInsurance companies, consulting firms, government agencies

While both roles involve working with insurance data, Insurance Data Analysts focus on data collection, analysis, and reporting, whereas Actuaries specialize in risk modeling and financial forecasting using advanced mathematics and actuarial exams. The roles often collaborate but serve different strategic functions within insurance organizations.

How much does an insurance data analyst for an insurance company make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with advanced skills or certifications can earn higher salaries. The role often requires proficiency in data analysis tools like SQL and Excel, and knowledge of insurance industry data.
Infographic showing various Insurance Data Analyst job openings in Kansas as of September 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $73,702 per year, or $35.4 per hour.

Data Governance Manager

Salina, KS • On-site

$76K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.


Key responsibilities

  • Coordinate standards and continuous improvement across various Business Domains to ensure enterprise information is consistently defined, governed, measurable, and suitable for operations and analytics.

  • Partner with Information Services and Data Analytics to translate business requirements into database, reporting, and data warehouse solutions, ensuring analytical capabilities are built on approved systems and definitions.

  • Lead enterprise data governance by establishing standards, processes, and input specifications for master data creation and maintenance, and monitor and improve data quality.


Job description

Data Governance Manager
Compensation: $76,000-100,000/year + tri-annual performance-based bonuses
Location: In-office position in either Minneapolis, KS; or Sidney, NE dependent on candidate’s location.

Huyett is a progressive and growing master distributor and manufacturer of industrial fasteners. We are seeking a Data Governance Manager to serve as the enterprise leader responsible for Master Data Management: architecting, governing, and ensuring the accuracy and integrity of master data across all core domains such as Customer, Product/SKU, Supplier, and Transaction. The role is responsible for stratifying and codifying data and serving information and insights to company stakeholders through data integration, Artificial Intelligence, analytics, and reporting.


This role approves data warehouse design and master data structures along with related changes and maintenance to ensure that data is modeled, normalized, collected, fully developed, and accurate to provide reliable insights that directly facilitates customer targeting, personalized marketing, sales growth, sourcing decisions, and operational efficiency.


This role coordinates how enterprise information is defined, standardized, measured, governed, and improved while preserving ownership of operational data within the appropriate Business Domains. This individual works closely with business leaders, Information Services, Data Analytics, and subject matter experts to develop Enterprise Master Specifications, maintain Business Domain and Systems of Record catalogs, monitor Information Quality, prepare governance recommendations, and coordinate implementation of approved standards. We offer these benefits and more:

  • Triannual gainsharing bonuses on top of salary.
  • 401(k), with a generous employer match and a year-one full vestment.
  • Full benefits, including discounted health insurance options for non-tobacco users.
  • Best-in-class Company Health Club.
  • Generous paid-time-off policies, including paid holidays, bereavement, and parental leave.
  • Comprehensive on-boarding training program.
  • Great culture with supportive teammates.
  • Supportive managerial feedback.


For more than a century, we’ve built our reputation on quality, innovation, reliability, and a people-first Culture of Excellence that values growth, professionalism, and teamwork. This culture is guided by seven Core Values:

  • Effective We Deliver Results That Matter
  • Learner We Grow Through Curiosity
  • Attentive We Notice What Others Overlook
  • Accountable We Own It
  • Humble We Check Our Egos at the Door
  • Transparent We Communicate with Clarity and Honesty
  • Love and Respect We Treat People Like People


Key Responsibilities:

  • Enterprise Data Standards Coordinate standards and continuous improvement across Customer, Item, Supplier, Transaction, and additional Business Domains to ensure enterprise information is consistently defined, governed, measurable, and suitable for business operations, reporting, analytics, and future Artificial Intelligence applications.
  • Information Architecture & Analytics Enablement Partner with Information Services and Data Analytics to translate business information requirements into effective database, integration, reporting, analytics, and data warehouse solutions. Ensure enterprise analytical capabilities are built upon approved Systems of Record, business definitions, and Trusted Enterprise Information.
  • Leadership & Change Management Lead cross-functional information initiatives through collaboration and influence; work closely with Executive Leadership, Business Leaders, Information Services, Data Analytics, the Data Governance Committee, and Subject Matter Experts; promote data literacy and accountability; and ensure governance remains practical, business-focused, and oriented toward measurable results.
  • Master Data Ownership & Governance Lead enterprise data governance by establishing and enforcing standards, processes, and input specifications for master data creation and maintenance. Partner with IT and Data Analytics to align Systems of Record and Data Warehouse platforms. Monitor and improve data quality, support scalable analytics and AI capabilities, and coordinate cross-functional data decisions while preserving business ownership of operational data.
  • Data Architecture & Design Architect Partner with developers to approve and maintain master data structures by defining normalized, validated, and scalar data frameworks that integrate customer behaviors, product attributes, supplier information, transactions, and pricing to enable segmentation, targeting, analytics, and actionable business insights.
  • Information Quality & Continuous Improvement Establish baselines, scorecards, and measurable objectives for Information Quality; monitor accuracy, completeness, consistency, duplication, and reliability; identify and prioritize improvement opportunities; and lead corrective actions and continuous improvement initiatives that increase confidence in Trusted Enterprise Information.
  • Customer Data & Enrichment Lead customer data governance by standardizing account structures, improving contact capture, enriching customer records with third-party data, validating NAICS classifications, and driving customer stratification to improve segmentation, prospecting, and scalable data maintenance.
  • Supplier & Transaction Data Management Ensure supplier and transaction-level master data is standardized and governed to support sourcing decisions, compliance, and performance analytics while aligning with Huyett’s commercial and operational strategies.
  • Analytics & Commercial Enablement Integrate and standardize master data across CRM, digital, sales, and service platforms to create a 360° customer view, enable growth analytics and strategic decision-making, support pricing and inventory planning, and deliver actionable insights from data quality trends.
  • Leadership & Change Management Champion enterprise-wide data literacy and master data standards through training and communication, drive cross-functional governance compliance, and lead a strategic data team that aligns data architecture with commercial growth by partnering closely with Sales, Marketing, Finance, Purchasing, Merchandising, Operations, and IT.



Ideal Qualifications:

  • Bachelor’s degree in Business, Information Systems, Data Management, Computer Science, Supply Chain, or related field.
  • 7–10 years of experience in data governance, master data management, and data architecture preferably in distribution/manufacturing.
  • Technical skill developing databases, analytics, and reporting, with working knowledge of machine learning and Artificial Intelligence tools.
  • Proven track record implementing enterprise master data governance and cleanup initiatives.
  • Experience with ERP, CRM, data warehouse, Business Intelligence, MDM, or comparable enterprise systems.
  • Knowledge of customer stratification, NAICS classification, and enrichment tools (e.g., ZoomInfo).
  • Strong business acumen with ability to translate commercial requirements into data architecture.
  • Excellent leadership, influencing, and change management skills across cross-functional teams.
  • Strategic thinker with hands-on execution ability.
  • Ownership mindset and accountability for enterprise data integrity.
  • Analytical, process-oriented problem solver.
  • Collaborative, cross-functional leadership skills.
  • Continuous improvement and innovation mindset.


Work Environment: Office setting with friendly, outgoing, team-oriented staff. Candidates should anticipate a very fast-paced, productive work environment. Occasionally, the candidate will work in our manufacturing plant environment to interface with operations teammates.


EEOE: Huyett is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, age, disability, or genetic information.

Company Description

Huyett is a manufacturer and master distributor of industrial fasteners that leverages superior customer service, data analytics, e-commerce, and a direct sales force to realize significant competitive advantage. The firm currently has five locations in North America primarily serving the production fastener distribution market. With private ownership, this 110-year-old company bears leadership that is transparent and resourceful with open book management and profit sharing to team members. The firm has a rock-solid balance sheet and while fast-paced, is stable and will be here for the long run, absent of sell-out or market risks.