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Remote Insurance Data Analytics Jobs in Michigan

Dentsu, Inc.

$94K - $115K/yr

Preference for degrees in Business Administration, Finance, Marketing, Data Analytics, or related ... Life insurance, * Short-term and long-term disability insurance, * 401k, * Flexible paid time off,

CSAA

Develop financial models, what-if scenarios, and decision-support analytics to help Personal Lines ... Experience with data extraction and uploading in Enterprise Performance Management (EPM) systems.

CSAA

$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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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.
Safety Campaign Data Project Manager (1450135)

Safety Campaign Data Project Manager (1450135)

Brightwing

Auburn Hills, MI • Remote

$43 - $48/hr

Other

Posted 27 days ago

Job description

Job Description Based in Auburn Hills, MI - 100% remote with minor exception where needed The Safety Campaign Data Project Manager Responsibilities include but not limited to: The Safety Campaign Data Project Manager will handle all aspects of regulatory reporting requirements for both domestic and international requirements, including working closely with the Enterprise Systems team and the ICT teams to ensure full and accurate regulatory reporting data is complete and submitted on time. In addition, this position will gather and measure campaign field data to identify trends enabling targeted outreach activities to maximize campaign completion. This position will also support domestic and international initiatives to maximize safety recall completion rates to finding and motivating owners to have their recalls completed.

These initiatives may be customer or dealer facing and involve internal partners or external vendors. Working closely with the VSRC Systems team, Corporate Quality, MOPAR, and the ITC team, the Data Analyst will identify segments to implement and measure field initiatives. Lastly, the selected candidate will collaborate with US team members from multiple internal organizations including Field Operations, Customer Care, Purchasing, and Supply Chain.

Requirements: Temporary Assignment - approx. 6-9 months - anywhere from 10-40 hours per week. Likely that it is 10 hours / week minimum but depending on the candidate's skills and abilities we could likely utilize this person upwards of 24 hours a week most weeks.

A minimum of a Bachelor's Degree in Business, Finance, Engineering or other Technical degree from an ABET accredited university. 1-5 years' experience - depending on how solid data analytic skills are. Ability to work closely with a team, attention to detail, creativity, and proactive thinking are important skills.

Proficient in Microsoft excel and other office software. CTC based - 100% remote with minor exception where needed No driving company vehicle is required for this position No travel is required Preferred Requirements: Minimum 5 years experience working on safety recalls, and takata recalls more specifically. Experience in Engineering, Purchasing, Supplier Quality, MOPAR, or Manufacturing.

Proficient in Microsoft access. Contract to hire opportunity

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