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Executive Insurance Data Analytics Jobs in Detroit, MI

This executive-level position will drive the organization's vision across Master Data Management (MDM), Data Governance, Advanced Analytics, and Artificial Intelligence, enabling business growth ...

This executive-level position will drive the organization's vision across Master Data Management (MDM), Data Governance, Advanced Analytics, and Artificial Intelligence, enabling business growth ...

Prepares executive-level dashboards and board reports summarizing compliance trends and insights ... analytics, compliance, internal audit, or risk management within financial services or insurance ...

Prepares executive-level dashboards and board reports summarizing compliance trends and insights ... analytics, compliance, internal audit, or risk management within financial services or insurance ...

... analytics solutions to streamline workflows * Maintain data quality, security, and performance standards across all reporting systems * Develop dashboards, ad hoc reports, and executive-ready ...

... in Data Analytics, Business Analytics, or a similar role. * Strong presentation and data storytelling skills, with the ability to communicate insights effectively to business and executive ...

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Executive Insurance Data Analytics information

See Detroit, MI salary details

$26.2K

$92.6K

$182.2K

How much do executive insurance data analytics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for executive insurance data analytics in Detroit, MI is $92,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $119,300.00 per year, depending on experience, location, and employer.

What is an executive insurance data analytics?

An Executive Insurance Data Analytics professional is a senior leader who oversees the collection, analysis, and interpretation of data to guide decision-making within insurance organizations. They leverage advanced analytics, data science, and business intelligence to identify trends, assess risks, and optimize business strategies. Their role often involves setting data strategy, ensuring data quality, and communicating insights to stakeholders to improve profitability and efficiency. They typically collaborate with IT, actuarial, underwriting, and claims teams to drive data-driven transformation across the company.

How does an executive insurance data analytics typically collaborate with other departments to drive business decisions?

In the Executive Insurance Data Analytics role, collaboration with departments such as underwriting, claims, and product development is essential. You will regularly work with cross-functional teams to interpret complex data, identify trends, and provide actionable insights that support strategic business decisions. Clear communication and the ability to translate analytics into business terms are key, as you will often present findings to both technical and non-technical stakeholders. This collaborative approach not only helps improve operational efficiency but also ensures data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as an executive insurance data analytics, and why are they important?

To excel as an Executive in Insurance Data Analytics, you need expertise in statistical analysis, data modeling, insurance industry knowledge, and often an advanced degree in data science or actuarial science. Familiarity with analytics platforms like SAS, SQL, Python, and business intelligence tools, as well as certifications such as CPCU or data analytics credentials, are typically required. Strategic thinking, leadership, and strong communication skills help drive insights and influence organizational decision-making. These skills are crucial for transforming complex data into actionable strategies that enhance profitability and manage risk in the insurance sector.

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

AspectExecutive Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related field; experience in insurance analyticsBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic, leadership-focused, often in management teamsOperational, data-focused, often in analytics teams
Employer & Industry UsageInsurance companies, consulting firms, risk management firmsInsurance companies, brokers, third-party analytics providers

Executive Insurance Data Analytics roles focus on strategic decision-making and leadership in insurance data projects, while Insurance Data Analysts handle data collection, analysis, and reporting at operational levels. Both roles require similar educational backgrounds but differ in scope and responsibility.

What are the most commonly searched types of Insurance Data Analytics jobs in Detroit, MI?

The most popular types of Insurance Data Analytics jobs in Detroit, MI are:

Infographic showing various Executive Insurance Data Analytics job openings in Detroit, MI as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,613 per year, or $44.5 per hour.

Systems Analyst - Data (Insurance Claims)

Tmhcc

Troy, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Help us insure it

Tokio Marine HCC - Public Risk Group,a member of the Tokio Marine group of companies, is a market leader in providing specialized insurance products for municipal entities. We cover counties, cities, townships, villages, police departments, prisons, fire departments and more. We serve the growing insurance and risk management needs of medium and large governmental entities and provide property and casualty insurance coverages in multiple states.

Role Overview

Systems Analyst - Data (Insurance Claims)

***The ideal candidate is legally authorized to work in the United States and resides within a reasonable commuting distance of Troy, Michigan, to support a hybrid schedule. ***

As a Systems Analyst for Public Risk Group, you will help design, build, and maintain the data solutions that power our underwriting, operations, reporting, and analytics platforms. Working alongside experienced engineers, you will develop data pipelines, integrate systems, and ensure that high-quality, reliable data is available to support business decision-making.

You will collaborate closely with software engineers, product teams, and business stakeholders to understand data requirements and implement scalable technical solutions. As Public Risk Group continues its investment in cloud technologies and platform modernization, you will gain hands-on experience with modern data practices while contributing to the development of enterprise data capabilities.

This role offers an excellent opportunity to grow your technical skills through mentoring, challenging projects, and exposure to cloud-native architectures, APIs, data integrations, and large-scale insurance data.

Key Responsibilities

  • Assist senior engineers and business stakeholders in understanding data requirements and supporting data integrations.

  • Develop familiarity with insurance data, business processes, and systems through project work and mentoring.

  • Participate in Agile ceremonies including daily standups, backlog refinement and sprint planning.

  • Support the development, testing and maintenance of data pipelines, ETL processes and data integrations.

  • Assist in troubleshooting data quality issues and identifying root causes of data discrepancies.

  • Support data validation, reconciliation, and monitoring activities to ensure high quality data.

What You Bring

  • Bachelor's degree in Computer Science, Business or a related field or the equivalent education and/or experience

  • 1-3 years of relevant and progressive professional experience in software development and support.

Preferred Qualifications

  • Insurance industry experience desired.

  • Exposure to NoSQL databases such as Mongo is plus.

  • Basic understanding of data modeling and data quality principles.

  • Understanding of ETL concepts, API's and data integrations.

  • Excellent written and verbal communications skills

  • Exceptional organizational and analytical skills; demonstrated ability to manage multiple tasks simultaneously.

  • Ability to learn new technologies and adapt to changing technical requirements

  • Intermediate proficiency and experience using Microsoft Office package (Excel, Access, PowerPoint, Word)

What We Offer

  • Competitive salary and comprehensive benefit package

  • Strong learning culture with ongoing development opportunities

  • Opportunities for growth and career advancement

  • Comprehensive medical, vision, and dental coverage, with eligibility beginning on your first day of employment

  • Basic life and disability insurance

  • 401(k) plan with 6% company match

  • 20 days of PTO and two floating holidays (prorated)

  • Approximately 11 paid holidays and volunteer time off

  • Paid parental leave

  • Access to our award-winning wellness program, including mental health services, fitness network membership, and a complimentary Headspace subscription

  • Student loan matching program

  • Employee discount program

  • An opportunity to do meaningful work and love what you do

Disclaimer

You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if the Company is concerned about a conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction or challenge the accuracy of the background report. The Company will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state and local laws, such as the Violent Crime Control and Law Enforcement Act of 1994 (18 USC 1033(e))(the "VCCLEA"), which restricts financial institutions and insurers such as TMHCC from employing individuals with certain types of criminal convictions. Where the hiring and employment of individuals is not restricted by the foregoing, the Company will consider qualified applicants with arrest or conviction history in compliance with applicable law such as the California Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance, the San Diego Fair Chance Ordinance, and the San Francisco Fair Chance Ordinance.

About Us

Tokio Marine HCC is a global industry-leading specialty insurance group, backed by the strength and stability of the Tokio Marine Group. Offering over 100 classes of specialty insurance, we empower clients to pursue opportunities confidently through our "Mind Over Risk" philosophy. More than an insurance company, we are an organization built on innovation, unity, and trust.

At our core, we are Always Advancing, driven by innovation and an entrepreneurial spirit that keeps us moving forward. Our people are Experts in Tomorrow, using curiosity and smart working to anticipate what's next. With a culture rooted in Reaching Out, we foster genuine collaboration and support, ensuring every individual has the opportunity to succeed and make a difference.

Applying our Mind Over Risk philosophy to writing insurance allows our customers to take on opportunity with confidence. That philosophy defines our way of thinking, unites us as a team, and differentiates us from our competitors. We are much more than just an insurance company; we are a good company.

Equal Opportunity Employer

TMHCC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

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