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Remote Insurance Data Analytics Jobs in Michigan

CSAA

Job Title Commercial Insurance Analytics Consultant - Remote Requisition Number R7735 Commercial ... Partners closely with IT, data, and digital teams to define business requirements, influence data ...

CSAA

$79.50K - $105.20K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

LHH US

Data Analyst

Zeeland, MI · Remote

$70K - $120K/yr

Strong hands-on experience with data ingestion and analytics * Ability to work across multiple ... We will not consider remote candidates. Pay Details: $70,000.00 to $120,000.00 per year Search ...

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

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Remote Insurance Data Analytics information

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.

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 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.

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 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:
Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in Michigan as of May 2026, with employment types broken down into 1% Internship, 74% Full Time, 13% Part Time, and 12% Contract. Highlights an 100% Remote job distribution.

Strategic Initiatives Analyst - Data & Governance (Remote)

Carrington

Lansing, MI • Remote

$95K - $120K/yr

Full-time

Posted 29 days ago

Job description

A leading real estate services provider is seeking a professional to support enterprise-level strategic initiatives. This remote role focuses on problem-solving, requirements gathering, and data governance. Candidates should have a strong background in data analytics, SQL, and business processes.

The position offers a target pay range of $95,000 to $120,000, along with comprehensive benefits including healthcare plans and career advancement opportunities. J-18808-Ljbffr

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