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Senior Insurance Data Analytics Jobs in Kansas (NOW HIRING)

This role sits between senior leadership and a small but high-impact technical team and is responsible for translating business strategy into data priorities, delivering reliable analytics and ...

Threat Detection & Behavioral Analysis: Design and implement statistical models, anomaly detection ... Company paid Life Insurance * 401(k) with company match * Paid time off and parental leave

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Collaborate with developers, data scientists, analysts, and others to support data-related ...

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Collaborate with developers, data scientists, analysts, and others to support data-related ...

Bachelor's degree in Risk Management, Insurance, Business, Finance, Data Analytics, Construction Management, or a related field, or equivalent combination of education and relevant experience. * At ...

Data Engineer

Overland Park, KS

$111K - $133K/yr

Intrepid Direct Insurance (IDI) is a rapidly growing direct to consumer property and casualty ... Collaborate with developers, data scientists, analysts, and others to support data-related ...

Bachelor's degree in Risk Management, Insurance, Business, Finance, Data Analytics, Construction Management, or a related field, or equivalent combination of education and relevant experience. * At ...

You will support architecture design, build data pipelines and models, perform analysis, and ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...

Senior Analytics Specialist About the Role Lead complex analytics initiatives that drive strategic ... Overlay client insights, market data, and research to enrich analytics and enable JLL solution ...

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company ...

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company ...

Director of Medicare

Wichita, KS · On-site

$80K - $100K/yr

Analyze our sales performance and adjust our outreach efforts to ensure we are consistently meeting ... insurance data systems. * A background in building community outreach programs or senior-focused ...

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

... data infrastructure that powers analytics, operations, real-time decisioning, and digital ... Health & Wellness- Medical, Dental, Visions and Life Insurance. Along with additional wellness ...

Showing results 21-40

Senior Insurance Data Analytics information

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 are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

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 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 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 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:

Director of Quality Assurance - Data & Analytics

Children's Hospital Association

Lenexa, KS • On-site

$96 - $173/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Job description

Director of Quality Assurance – Data & Analytics – Hybrid in Lenexa, KS

Where You’ll Work

This position is based in our Lenexa, KS office. We leverage a hybrid working model working three days in the office, two days optional remote work.

What You’ll Do

The Director of Quality Assurance Data & Analytics is responsible for leading and evolving the quality assurance function for data and analytics products across the organization. This role provides both strategic leadership and hands‑on QA execution, ensuring the accuracy, reliability, usability, and performance of dashboards, data pipelines, reports, and APIs. The Director partners closely with cross‑functional teams to establish scalable QA practices, drive consistent testing operations across multiple teams, and build a strong culture of quality. This position also directly contributes to test strategy, test execution, defect triage, and process improvement for complex data and analytics solutions.

Responsibilities
  • Lead the QA function for data and analytics products, defining direction, priorities, and measures of success.
  • Build, scale, and manage, and develop a QA program that supports multiple teams, products, and delivery streams.
  • Drive cross‑team QA operations, including intake and prioritization, defect management, release readiness, and quality reporting.
  • Partner with cross‑functional leaders to embed quality practices early and influence decisions that improve product quality and delivery confidence.
  • Design, review, and (when needed) execute test strategies, plans, and validation approaches across products and releases.
  • Lead validation of complex data and analytics solutions, including dashboards and reporting, semantic layers and metric logic, ETL/ELT pipelines and data transformations, and APIs and data integrations.
  • Act as the senior QA lead on high‑risk or high‑visibility initiatives, stepping in hands‑on to ensure successful delivery.
  • Establish and evolve QA standards, frameworks, and reusable templates used across teams.
  • Define and enforce core QA practices (e.g., test coverage expectations, defect lifecycle, release quality criteria).
  • Expand test automation and data validation automation to improve speed, coverage, and repeatability.
  • Guide selection and effective use of QA tools (test management, defect tracking, API/data testing, automation).
  • Use quality metrics, defect trends, and retrospectives to reduce recurring issues and strengthen release confidence.
What You’ll Bring to CHA

Any combination of education and experience providing the required skill and knowledge is qualifying.

  • Bachelor’s degree in computer science, information systems, or related field (or equivalent experience).
  • 8+ years of progressive quality assurance experience, including substantial experience testing data and analytics solutions.
  • 3+ years of people leadership and/or QA program leadership with responsibility for setting direction, managing priorities, and driving outcomes across multiple teams.
  • Demonstrated expertise testing data‑centric products such as dashboards, reports, data models, ETL or ELT pipelines, APIs, and analytics platforms.
  • Experience with SQL and data validation techniques, including reconciliation, source‑to‑target validation, and business rule testing.
  • Experience establishing QA processes, standards, and operating models that can be used consistently across products or delivery teams.
  • Experience with test management, defect tracking, API testing, and automation tools; ability to apply automation pragmatically in support of data and analytics quality goals.
  • Familiarity with modern delivery practices and tools such as Azure DevOps, Git, CI/CD pipelines, and Agile delivery methods.
  • Strong ability to partner with technical and business stakeholders, translate requirements into test strategy, and influence quality outcomes across organizational boundaries.
  • Excellent leadership, communication, and organizational skills, with the ability to balance strategic oversight and direct execution.
  • Preferred experience with healthcare, regulated data environments, or validation of metrics and reporting used for operational or executive decision‑making.
Our Perks and Benefits
  • Medical, dental and vision insurance
  • Retirement Savings program with generous company contribution
  • Health Savings Account with company contributionWellness program
  • Paid time off and personal days
  • 9 paid holidays
  • And more!
Compensation

This pay range shown is a guideline. Min: $96,000 Max: $173,000. Compensation is based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Diversity, Equity and Inclusion

CHA is committed to advancing diversity, equity and inclusion within our organization, our membership, the care delivery of children’s hospitals and their communities and through the federal policymaking environment. With children’s hospitals we strive to ensure organizational cultures where everyone feels valued and actively participates in the mission of our organizations. Racism stands firmly in the way of improving children’s health. We remain vigilant in our quest for a diverse and inclusive community and in standing against racism and discrimination wherever it exists.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, and protected veteran status, or disability status.

Visa sponsorship is not available for this position.

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