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Senior Insurance Data Analytics Jobs in Michigan

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... Various Optional Insurance programs such as legal, identity theft, critical illness, etc. * Tuition ...

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

Senior Data Analyst Who we are... We are a team of scientists, engineers, technicians, and ... Build analytics and dashboards using data from MasterControl, SharePoint, and other internal ...

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... Various Optional Insurance programs such as legal, identity theft, critical illness, etc. * Tuition ...

The Senior Director of Data Analytics & AI Engineering leads a major function within OhioHealth's technology organization, providing direction through subordinate managers across data engineering ...

Sr Business Data Analyst

Livonia, MI · On-site

$70K - $115K/yr

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

Sr. Data Analyst

Ypsilanti, MI · On-site

$77K - $98K/yr

Sr. Data Analyst Hyundai America Technical Center, Inc. (HATCI) is looking for a Senior Engineer to ... Life Insurance * Generous Paid Time Off, Including Vacation, Sick, and Abundant Holidays

Senior Insurance Defense Attorney CURE Auto Insurance is a leading direct writer of auto insurance ... Evaluating and providing detailed analysis of assigned cases in accordance with CURE's staff ...

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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 Michigan? The most popular types of Insurance Data Analytics jobs in Michigan are:
What job categories do people searching Senior Insurance Data Analytics jobs in Michigan look for? The top searched job categories for Senior Insurance Data Analytics jobs in Michigan are:
What cities in Michigan are hiring for Senior Insurance Data Analytics jobs? Cities in Michigan with the most Senior Insurance Data Analytics job openings:

Lead Insurance Data Scientist

Independencepetgroup

Three Rivers, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Established in 2021,Independence Pet Holdingsis a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.

We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands.

Independence American Insurance Company(IAIC),a subsidiary of IPH, hasover50 years of underwriting experience and a history of innovation in the pet insurance industry. IAIChas built a reputation as a trusted and dependable partner.We are a pet-focused underwriter with deep insurance industry experience, offering a product with proven consumer appeal.

Job Location: Remote (U.S.) Teams with hubs in: Chicago, IL | New York, NY | Scottsdale, AZ | Cleveland, OH

Job Summary

We are seeking a Lead Data Scientist with hands-on experience in P&C or Pet Insurance pricing to join our growing R&D team. This is a senior individual contributor role responsible for leading pricing model development, driving analytical best practices, and serving as a subject matter expert in insurance pricing.

You will own projects endtoend - from scoping to delivery - and balance a portfolio of 2-4 concurrent initiatives across pricing, research, and model enhancement. This role requires someone who can independently run a project to ground, ask the right questions when roadblocks arise, and communicate complex modeling work to both technical and nontechnical audiences.

You will partner closely with actuarial, product, engineering, and business stakeholders while helping shape the analytical culture of the team.

What You'll Do

Pricing & Modeling Leadership

  • Develop, refine, and maintain GLMbased pricing models and related regression approaches used for rate setting, segmentation, and performance forecasting.
  • Apply machine learning techniques where appropriate to enhance predictive accuracy and customer behavior insights.
  • Serve as a technical lead on pricing initiatives, ensuring methodological rigor and regulatory awareness.

EndtoEnd Project Ownership

  • Take a scoped project and drive it independently to completion, escalating questions or blockers appropriately.
  • Manage a rotating portfolio of 2-4 active projects, including pricing model builds, research initiatives, and support for regulatory filings.

Data Exploration & Analytical Insight

  • Conduct exploratory data analysis to understand relationships across pricing, conversion, retention, and risk segmentation.
  • Perform advanced rootcause analysis using SQL and statistical techniques to investigate data issues and collaborate with engineering to resolve them.
  • Translate complex analytical findings into clear, actionable insights for leadership across varying technical backgrounds.

Communication & Influence

  • Present modeling results, assumptions, and recommendations to senior leadership in a way that is accessible and compelling.
  • Become an SME in a key area of insurance pricing, providing guidance to peers, leaders, and crossfunctional partners.

Team Leadership & Mentorship

  • Mentor junior team members and contribute to elevating data science best practices across the organization.
  • Demonstrate flexibility in leading or following depending on project needs, contributing to a collaborative and hightrust team environment.

Required Qualifications

  • Graduate degree in Statistics, Mathematics, Data Science, Actuarial Science, or related quantitative field and 2+ years of experience in a data science or analytical role OR 4+ years of progressive experience in data science or analytics.
  • At least 1 year of experience in P&C or Pet Insurance pricing (rate modeling, GLMs, segmentation, or related actuarial/data science work).
  • Strong proficiency in Python and SQL for data manipulation, modeling, and analysis.
  • Deep understanding of GLMs, regression modeling, and statistical inference.
  • Demonstrated ability to communicate complex technical concepts to both technical and nontechnical audiences.
  • Ability to manage multiple priorities in a fastpaced environment with a small, highimpact team.
  • Strong problemsolving skills, critical thinking, and attention to detail.

Preferred Qualifications

  • Experience with Snowflake, Databricks, or SQL Server.
  • Familiarity with data warehousing concepts.
  • Hands-on experience with WTW Radar, Emblem, or Earnix.
  • Experience building dashboards in Power BI or similar tools.

Who Thrives Here

This role is ideal for someone who:

  • Enjoys owning complex analytical work from start to finish.
  • Can balance multiple projects without losing quality or momentum.
  • Communicates with clarity, confidence, and humility.
  • Wants to grow into a pricing SME and influence decisions across the business.
  • Values both leading and following depending on what the project requires

#LI #carrier

All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:

  • Comprehensive full medical, dental and vision Insurance

  • Basic Life Insurance at no cost to the employee

  • Company paid short-term and long-term disability

  • 12 weeks of 100% paid Parental Leave

  • Health Savings Account (HSA)

  • Flexible Spending Accounts (FSA)

  • Retirement savings plan

  • Personal Paid Time Off

  • Paid holidays and company-wide Wellness Day off

  • Paid time off to volunteer at nonprofit organizations

  • Pet friendly office environment

  • Commuter Benefits

  • Group Pet Insurance

  • On the job training and skills development

  • Employee Assistance Program (EAP)

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