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Remote Insurance Data Analytics Jobs in Michigan

Data Entry Associate

MI ยท On-site +1

$17 - $24/hr

... insurance * Flexible schedule The ideal candidate for this role is well-organized, analytical, and ... remote position. Compensation: $17.00 - $24.00 per hour

Lead Decision Analyst: Onsite

Detroit, MI ยท On-site +1

$93K - $189K/yr

Minimum of 3 years of experience in analytics/data analysis. Preferred Qualifications: * Minimum of ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Lead Decision Analyst: Onsite

Detroit, MI ยท On-site +1

$93K - $189K/yr

Minimum of 3 years of experience in analytics/data analysis. Preferred Qualifications: * Minimum of ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

Develops and analyzes data related to complex actuarial functions * Evaluates analytical work done ... Develops and analyzes new methodologies for insurance rating and loss reserving Required Experience ...

$39.50 - $54.50/hr

... Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and ... Partner with data experts in center of excellence to validate feasibility of proposals. * With ...

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Showing results 1-20

Remote Insurance Data Analytics information

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
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 are popular job titles related to Remote Insurance Data Analytics jobs in Michigan? For Remote Insurance Data Analytics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Michigan look for? The top searched job categories for Remote Insurance Data Analytics jobs in Michigan are:
What cities in Michigan are hiring for Remote Insurance Data Analytics jobs? Cities in Michigan with the most Remote Insurance Data Analytics job openings:
Infographic showing various Remote Insurance Data Analytics job openings in Michigan as of July 2026, with employment types broken down into 2% Internship, 80% Full Time, 10% Part Time, and 8% Contract. Highlights an 100% Remote job distribution.
Data Engineering Manager

Data Engineering Manager

Hastings Mutual Insurance Company

Hastings, MI โ€ข On-site, Remote

Full-time

Retirement, PTO

Re-posted 17 days ago


Job description

Lead the engineering, integration, and architecture behind our enterprise data ecosystem.
Hastings Insurance is seeking a Data Engineering Manager to join our Information Technology team. In this leadership role, you will oversee the design, development, and operational management of enterprise data solutions that support business operations, reporting, analytics, and strategic decision-making across the organization.
Leading a team of data engineering and warehousing professionals, you will guide the development of enterprise data pipelines, integration processes, data warehousing environments, and data architecture practices that ensure reliable, scalable, and secure access to critical business information. This role combines technical leadership, people leadership, and cross-functional collaboration to strengthen the data foundation that supports our business.
As advanced analytics and data science functions are led within our Actuarial & Risk Management group, this position is primarily focused on data engineering, data warehousing, enterprise integration, and data architecture.
Location & Schedule:
  • This is a full-time position working Monday through Friday, 8:00 a.m. to 4:30 p.m.
  • The role may be performed onsite at our Hastings, Michigan headquarters or in a hybrid arrangement. We may also consider remote candidates who reside in one of our operating states: Michigan, Ohio, Indiana, Illinois, or Wisconsin.
  • Candidates working remotely should expect periodic travel to Hastings throughout the year for meetings, collaboration, and business needs.
What You'll Do:
  • Lead, coach, and develop a team responsible for enterprise data engineering, data warehousing, and data integration solutions.
  • Oversee the design, development, deployment, and maintenance of enterprise data pipelines and data warehousing environments.
  • Ensure reliable movement, transformation, and delivery of data from systems of record into centralized data platforms.
  • Guide data architecture, data modeling, and integration practices that support secure, scalable, and maintainable solutions.
  • Partner with IT engineering, architecture, business stakeholders, and data owners to align data solutions with organizational needs.
  • Promote data governance standards, data quality practices, and consistency across enterprise data assets.
  • Support the development and maintenance of enterprise reporting and business intelligence data structures.
  • Develop and manage maintenance schedules for data warehousing and business intelligence platforms.
  • Evaluate emerging technologies and recommend solutions that improve reliability, scalability, performance, and cost effectiveness.
  • Support vendor evaluations, contract discussions, and third-party data service relationships.
  • Collaborate with leaders across the organization to identify opportunities to improve data accessibility, consistency, and operational efficiency.
  • Stay informed on trends affecting both enterprise data environments and the Property & Casualty insurance industry.
Additional Role Highlights:
  • Technical leadership role with direct influence over enterprise data engineering and data architecture initiatives.
  • Opportunity to help shape the future direction of Hastings' enterprise data environment.
  • Strong partnership with IT engineering, architecture, business analytics, and operational leaders.
  • Visibility across all levels of the organization, including executive leadership.
  • Balance of strategic planning, technical leadership, and people leadership responsibilities.
What You'll Bring:
  • Bachelor's degree in Information Technology, Business, Economics, or a related field, or equivalent experience.
  • 10+ years of progressive experience supporting enterprise data solutions, data engineering initiatives, data warehousing environments, or business data flows.
  • Experience leading, mentoring, or developing technical teams.
  • Demonstrated expertise in ETL design, development, and implementation.
  • Strong understanding of data warehousing concepts, data integration, and enterprise data architecture principles.
  • Experience working with relational databases and enterprise data environments.
  • Working knowledge of project phases and general project management concepts.
  • Experience across multiple computing environments, including mainframe, client-server, and internet-based platforms.
  • Excellent written, verbal, and interpersonal communication skills.
  • Proficiency with Microsoft Office tools.
  • Ability to exercise sound judgment, maintain confidentiality, and operate effectively in complex, time-sensitive environments.
Preferred Qualifications:
  • Experience within the Property & Casualty insurance industry.
  • Experience supporting enterprise data warehouse or business intelligence environments.
  • Familiarity with SQL Server, ETL tools, data modeling, and enterprise integration solutions.
  • Experience working with both legacy and modern data platforms.
About Us:
At Hastings Insurance, we are a trusted partner to our agents, policyholders, and the communities we serve. For more than 135 years, we have helped individuals, families, and businesses protect what matters most and rebuild after loss. We are proud to be rated A (Excellent) by A.M. Best Company, reflecting our financial strength and long-term stability.
While our history is strong, our focus is forward. We invest in technology, strengthen partnerships with independent agents, and continuously refine our products to meet the evolving needs of today's customers. Our strategy centers on responsible growth, expanding our reach while remaining agile, disciplined, and service-driven.
Our people make that possible. Hastings employees thrive in a down-to-earth, collaborative environment that values initiative, accountability, and steady progress. We offer a competitive benefits package that includes a 401(k) with company matching contributions, generous vacation and sick leave, fully paid tuition and professional development reimbursement, and incentive compensation bonus opportunities. At Hastings, your work matters and your growth is supported.
Our Commitment as an Employer:
We believe diverse perspectives strengthen our organization and drive better outcomes. We are committed to building an inclusive workplace where every employee feels respected, supported, and empowered to contribute.
We are proud to be an equal opportunity employer. Employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, appearance, disability, veteran status, family status, marital status, or any other legally protected characteristic.
We are also committed to providing an accessible and welcoming experience for all candidates. If you require accommodation during the application or interview process, please contact our Talent Acquisition team at 800-442-8277.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.