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Senior Insurance Data Analytics Jobs in Kansas (NOW HIRING)

Quest Diagnostics

Sr. Data Analyst (Looker)

Lenexa, KS · On-site

$80K - $100K/yr

Support self-service analytics initiatives by enabling business users with accessible and intuitive ... Experience in healthcare, laboratory services, insurance, or other regulated industries.

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

... professionals and insurance brokers. Headquartered in Burlington, MA, with additional office ... Threat Detection & Behavioral Analysis: Design and implement statistical models, anomaly detection ...

Lockton, Inc.

AVP, Cyber Analytics

Overland Park, KS · On-site

Proven ability to lead cross-functional teams and influence senior stakeholders. Core Competencies ... data-driven revenue opportunities for cyber including cross-selling, analytics-supported insurance ...

JLL

Senior Analytics Specialist

Wichita, KS · Remote

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 ...

Global Partners

Analytics Engineer

Newton, KS

$118K - $177K/yr

You have worked with teams to serve as the domain expert pertaining to Data, Analytics, Technology ... Health & Wellness- Medical, Dental, Visions and Life Insurance. Along with additional wellness ...

Lockton, Inc.

Data Analyst

Overland Park, KS · On-site

... data analysis in the insurance industry or related field • At least 3 years of experience in working with project teams in an information technology environment • Proficiency with Microsoft SQL ...

Global Partners

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 ...

Starr Insurance Companies

Summary: The Senior Regulatory Analyst is responsible for ensuring the timely and accurate ... insurance departments. Extract data from various systems, manipulate in Excel as necessary, and ...

O2E Brands

Product Analytics Lead

Overland Park, KS · On-site

We are seeking a Product Analytics Lead to own analytics and insights for all tests and ... business data into clear strategic recommendations that influence senior leadership decisions

hcmportal

Senior Data Governance Analyst

Leawood, KS · On-site +1

Named to Ward's 50 list of top-performing life-health insurance companies * Recognized on list of ... Enable trusted use of unstructured data in AI, analytics, and RAG solutions; collaborate with the ...

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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:
Senior Insurance Data Analytics jobs near you
Sr. Data Analyst (Looker)

Sr. Data Analyst (Looker)

Quest Diagnostics

Lenexa, KS • On-site

$80K - $100K/yr

Full-time

Posted 14 days ago

ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

98th of 120 rated laboratories

Job description


The Senior Data Analyst serves as a trusted analytics partner to business leaders across the organization. This role is responsible for transforming data into actionable insights through reporting, dashboard development, advanced analytics, and strategic consultation.
The ideal candidate combines strong business acumen with technical expertise and is passionate about helping stakeholders make data-driven decisions. This individual will play a key role in developing scalable reporting solutions, advancing self-service analytics capabilities, and delivering insights that improve operational performance and business outcomes.
This professional will work in a hybrid capacity requiring 3 days a week onsite. 100% remote work will be considered for exceptional candidates.
Available Locations Include:
Wood Dale, CA
Miramar, FL
Tampa, FL
Tucker, GA
Lenexa, KS
Marlborough, MA
Clifton, NJ
Pittsburgh, PA
Norristown, PA
Irving, TX
Houston, TX
Responsibilities
  • Develop and maintain dashboards, reports, and analytical solutions using Looker and SQL.
  • Partner with stakeholders to understand business objectives, define requirements, and deliver actionable insights.
  • Design and maintain trusted metrics, KPIs, and reporting standards to ensure consistency across the organization.
  • Analyze operational and business performance data to identify trends, opportunities, and risks.
  • Support self-service analytics initiatives by enabling business users with accessible and intuitive reporting solutions.
  • Translate complex analytical findings into clear recommendations for both technical and non-technical audiences.
  • Work within Agile delivery frameworks, participating in backlog refinement, sprint planning, prioritization, and iterative solution development.
  • Automate recurring analyses and reporting processes to improve efficiency and scalability.
  • Perform ad hoc analyses to support strategic initiatives and business decision making.

Qualifications
  • 3+ years of experience in analytics, business intelligence, reporting, or related disciplines.

  • Advanced SQL skills with experience querying large and complex datasets.

  • Advance experience with Looker, including dashboard development, date exploration, and self-service analytics enablement.

  • Strong understanding of KPI development, metric governance, and reporting best practices.

  • Experience gathering business requirements and translating them into analytical solutions.

  • Experience working within Agile frameworks and cross-functional teams.

  • Excellent communication and presentation skills with the ability to influence stakeholders at multiple levels.

Preferred Qualifications:
  • Experience with Python and/or R for data analysis, automation, and statistical modeling.

  • Experience developing automated analytical workflows and reusable reporting solutions.

  • Experience in healthcare, laboratory services, insurance, or other regulated industries.

  • Experience supporting operational performance management and executive reporting.

  • Familiarity with cloud-based analytics environments and modern business intelligence platforms.

Nice to Have:
  • Exposure to machine learning techniques for prediction, classification, segmentation, or optimization.

  • Experience applying natural language processing techniques to unstructured text data.

  • Experience evaluating and implementing emerging analytics technologies and methodologies.

Physical and Mental Requirements:
  • Open mindset, ability to quickly adapt new technologies and learn new practice.

About the Team
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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