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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 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 ...

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the ...

Sr Data Analyst

Jackson, MI · On-site

$78K - $98K/yr

General Summary of Job Responsibilities The Applications and Analytics team is at the heart of ... The Senior Data Analyst plays a critical role in developing, enhancing, and maintaining ...

Sr Data Analyst

Jackson, MI · On-site

$78K - $98K/yr

General Summary of Job Responsibilities The Applications and Analytics team is at the heart of ... The Senior Data Analyst plays a critical role in developing, enhancing, and maintaining ...

Experience working with insurance data models , regulatory reporting, and actuarial/analytics use ... cases. * Ability to align data solutions with insurance-specific KPIs, risk modeling, and ...

New

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 ...

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 ...

He/she communicates regularly with Senior Management on specific projects. Serves as a resource and ... Health Insurance or Healthcare industry preferred. Power BI. Milliman MedInsight. Claims data ...

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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 cities in Michigan are hiring for Senior Insurance Data Analytics jobs? Cities in Michigan with the most Senior Insurance Data Analytics job openings:
Director- Data Analytics and AI

Director- Data Analytics and AI

Denso

Southfield, MI • On-site

$181K - $226K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


DENSO rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers


Job description


Role Overview:
The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO North America's IT Digital Center (ITDC), responsible for defining the enterprise wide strategy for data, analytics, and AI and executing to deliver scalable, high-impact AI solutions across North American operations. This role serves as a key enabler of DENSO's AI first, data driven operating model. This role partners closely with technology and business leaders to translate data and AI capabilities into measurable business value while ensuring strong governance, security, and ethical AI practices.
Essential duties and responsibilities:
  • Define and execute the enterprise data analytics and AI vision aligned with DENSO's digital transformation strategy.
  • Lead development and deployment of advanced analytics, machine learning, and AI use cases.
  • Establish scalable data platforms, analytics products, and AI pipelines in collaboration with cloud, data engineering, and cybersecurity teams.
  • Partner with business and functional leaders to identify high-impact use cases and drive measurable ROI from analytics and AI investments.
  • Build and lead high-performing teams of data scientists, analytics engineers, and AI product leaders.
  • Define data governance, model lifecycle management, and responsible AI standards to ensure compliance, security, and trust.
  • Oversee external partnerships with technology vendors, system integrators, and research institutions.
  • Champion data literacy and analytics adoption across the organization through change management and enablement.

Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; Master's degree preferred.
  • 10+ years of experience in data analytics, AI, or advanced analytics, with at least 5 years in a leadership role.
  • Proven experience delivering Analytics and AI solutions at enterprise scale, preferably in manufacturing, automotive, or industrial environments.
  • Strong understanding of data architecture, cloud platforms, advanced analytics, and AI/ML lifecycle management.
  • Demonstrated ability to translate complex technical concepts into business outcomes for senior executives.
  • Experience leading global or cross-functional teams in a matrixed organization.
  • Strong leadership, communication, and stakeholder management skills.

Preferred Experience:
  • Experience with AI applications in manufacturing, quality inspection, predictive maintenance, or mobility systems.
  • Hands-on familiarity with modern data and AI platforms (cloud-native analytics, AI platforms, and data governance tools).
  • Experience establishing responsible AI, model risk management, and data ethics frameworks.

Benefits Summary:
  • Medical, Dental, Vision, Prescription Drug plans
  • 401K with 4% Company Match
  • Vacation/PTO and 13 paid Holidays
  • Bonus Program
  • FSA/HSA and Dependent Care Programs
  • Company provided Life, Disability, ADD and Business Travel Insurance
  • Various No Cost Wellness & Chronic Condition Management Programs
  • Various Optional Insurance programs such as legal, identity theft, critical illness, etc.
  • Tuition Reimbursement
  • Career Development and Ongoing Training
  • Employee Assistance Program
  • Employee Spotlight and Recognition Program
  • Volunteer Opportunities
  • Onsite Fitness Center (vary by location)
  • Cafeteria and food markets (vary by location)
  • Onsite Health Clinic and Pharmacy (vary by location)

Annual Salary: $181,000 - $226,000

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