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Insurance Data Processing Jobs in Michigan (NOW HIRING)

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Support training and enablement of associates on new analytics tools, systems, and processes ... Various Optional Insurance programs such as legal, identity theft, critical illness, etc. * Tuition ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Strong expertise in SQL and experience working with large-scale databases and data processing ... Life insurance and accidental death & dismemberment insurance Compensation Range Compensation may ...

CSAA

Superior research, statistical, analytical, data processing and mathematical skills with ability to ... Knowledge of insurance, accounting and rate-making concepts. * Strong ability to independently ...

Auto-Owners Insurance

Data Specialist

Lansing, MI · On-site

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated Data Specialist to join our team. The position analyzes data processes and the needs of users and stakeholders; develops ...

E*Pro, Inc.

ETL Architect

Grand Rapids, MI · On-site

Insurance data model experience, such as IAA and Accord. * Strong knowledge and extensive practical ... ETL processes Additional Information If you are interested, please send across your resume to ...

HarmonyCares

Senior Data Engineer

Troy, MI · On-site

$100K - $136K/yr

Health, Dental, Vision, Disability & Life Insurance, and much more * 401K Retirement Plan (with ... Adherence to agile and scrum processes. * Continuously improve technical skills and stay current ...

Advantasure, Inc.

Actuarial Consultant

Detroit, MI · On-site

Ensure completeness, accuracy and appropriateness of all insurance data used in the production of ... Drive key department processes. May provide technical guidance to and coordinate work less ...

HTC Global Services

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

This role will focus on building reliable data ingestion and transformation processes, supporting ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

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Insurance Data Processing information

What are some common challenges faced in an Insurance Data Processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is the highest paid position in insurance?

In insurance, executive roles such as Chief Executive Officer (CEO), Chief Underwriting Officer, or Chief Risk Officer tend to be the highest paid positions, often earning six-figure salaries plus bonuses. These roles require extensive experience, leadership skills, and industry knowledge, and they oversee company strategy, underwriting, and risk management functions.

What does a data analyst do in an insurance company?

A data analyst in an insurance company collects, processes, and analyzes large datasets to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, claims processing, and pricing strategies.

What is the highest paid job in insurance?

In insurance, executive roles such as Chief Underwriting Officer or Chief Risk Officer tend to be the highest paid, often earning six-figure salaries plus bonuses. These positions require extensive industry experience, leadership skills, and often advanced certifications like CPCU or ARM.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What is Insurance Data Processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What is the highest paying data entry job?

In the field of insurance data processing, senior or specialized roles such as data analysts or claims processors tend to have higher salaries, especially those with advanced skills in database management, data analysis tools, or certifications. These positions often require experience and technical proficiency, leading to higher compensation compared to entry-level data entry roles.

What are the key skills and qualifications needed to thrive as an Insurance Data Processing Specialist, and why are they important?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.
What are popular job titles related to Insurance Data Processing jobs in Michigan? For Insurance Data Processing jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Insurance Data Processing jobs in Michigan look for? The top searched job categories for Insurance Data Processing jobs in Michigan are:
What cities in Michigan are hiring for Insurance Data Processing jobs? Cities in Michigan with the most Insurance Data Processing job openings:
Insurance Data Processing jobs near you
Data Scientist 2

Data Scientist 2

Denso

Southfield, MI • On-site

$90K - $113K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

DENSO rating

7.6

Company rating: 7.6 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

11th of 44 rated automakers

Job description

Job Description
JOB SUMMARY:
Under moderate supervision, the Data Scientist applies advanced statistical, machine learning, and artificial intelligence techniques to solve complex business problems across the enterprise. This role will work across business functionssuch as Manufacturing, Supply Chain, Finance, Engineering, etc. to deliver scalable analytics, predictive models, and AI solutions that drive operational efficiency, quality, and business performance. The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and operationalize models from concept through production.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Design, develop, and maintain statistical, machine learning, and AI models that extract actionable business and technical insights from large, complex datasets.
  • Build and support scalable analytics and predictive solutions using techniques ranging from data aggregation and feature engineering to advanced modeling and data mining.
  • Collaborate with business and engineering stakeholders to conduct needs assessments and requirements gathering, translating business questions into analytical solutions.
  • Perform advanced data analysis, data preparation, and model validation; translate insights into clear, actionable recommendations for management and internal customers.
  • Deploy and operationalize models using MLOps best practices, including versioning, monitoring, performance tracking, and continuous improvement.
  • Prepare and deliver executive-ready presentations and reports, explaining statistical concepts and analytical outcomes to non-technical and senior audiences.
  • Contribute to and help establish analytics and data science standards, methodologies, and best practices for process improvement initiatives.
  • Support training and enablement of associates on new analytics tools, systems, and processes.
  • Apply statistical and analytical expertise to advance regional and enterprise-wide digital transformation initiatives.
  • Stay current with industry trends and emerging technologies in data analytics, machine learning, and AI through ongoing learning, conferences, and training.
  • Perform other duties as assigned.

QUALIFICATIONS:
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field
  • 2-5 years of relevant experience in data science, analytics, machine learning or AI
  • Automotive, manufacturing, or industrial experience preferred.

SKILLS AND ABILITIES:
  • Proficiency in Python and SQL; experience with R or Java a plus.
  • Experience working with large-scale datasets, databases, and distributed data processing environments.
  • Hands-on experience with cloud-based data science platforms, preferably Databricks and lakehouse architectures.
  • Understanding of MLOps practices, including model deployment, monitoring, retraining, and lifecycle management.
  • Familiarity with data modeling, feature engineering, and analytics pipelines.
  • Exposure to IoT and industrial data concepts (e.g., sensor data, APIs, OPC UA/DA, streaming data) is a plus.
  • Knowledge of BI and visualization tools to support insight delivery.
  • Strong analytical and problem-solving skills, with the ability to independently develop innovative solutions to complex business challenges.
  • Ability to translate data science concepts into practical, production-ready solutions.
  • Comfortable collaborating with management, engineering, and cross-functional teams to bring analytics into real-world applications.
  • Excellent written, verbal, and presentation skills, with the ability to communicate effectively at all organizational levels, including senior leadership.
  • Demonstrated ability to build strong working relationships and function effectively in cross-functional teams.
  • Continuous improvement mindset with a focus on quality, scalability, and business value.
  • Ability to apply structured process improvement and quality methodologies to personal work and to support others in identifying gaps and improvements.

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: $90,000 - $113,000

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