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Insurance Data Analytics Jobs in Ohio (NOW HIRING)

State of Ohio

Data Analytics Specialist

Columbus, OH · On-site

$70 - $76/hr

- Data Analytics Specialist (260006A2) Data Analytics Specialist ( 260006A2 ) Organization Public ... Medical Coverage * Free Dental, Vision and Basic Life Insurance premiums after completion of ...

Adecco

Data Analytics Analyst

Cincinnati, OH · On-site

$31.52/hr

... Finance, Analytics, or related field * 5+ years of related experience * Experience with data ... life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes ... Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their ...

Schaeffler

Data & Analytics Specialist

Wooster, OH

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes ... Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their ...

CYNET SYSTEMS

Data Analytics

Mason, OH · On-site

$50 - $55/hr

Experience working in Healthcare, Health Insurance, Financial Services, or other highly regulated ... Data Analysis & Data Visualization. * Data Governance. * Statistical Analysis. * Power BI.

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Experience in Healthcare / Insurance / Data Analytics platforms. * Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.). * Experience in data governance and data quality frameworks.

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Great American Insurance Group's member companies are subsidiaries of American Financial Group. We ... Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department.

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Insurance Data Analytics information

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

What are the most commonly searched types of Insurance Data Analytics jobs in Ohio?

The most popular types of Insurance Data Analytics jobs in Ohio are:

What are popular job titles related to Insurance Data Analytics jobs in Ohio?

For Insurance Data Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Ohio look for?

The top searched job categories for Insurance Data Analytics jobs in Ohio are:

What cities in Ohio are hiring for Insurance Data Analytics jobs?

Cities in Ohio with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 20% Part Time, 1% Temporary, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Data Analytics Specialist

Ohio Department of Aging

Columbus, OH • On-site

Full-time

Medical, Dental, Vision, Life, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Ohio Department of Public Safety - Ohio Emergency Medical Services
Report In Location - 1970 W. Broad Street, Columbus, Ohio 43223
Perks of Working for the Ohio Department of Public Safety
• Multiple pay increases over your first years of service!
• Free Parking!
• Free Gym Access and Walking Path!
• Onsite Cafeteria!
• Onsite Daycare!
What You'll Do as a Data Analytics Specialist
• Researches complex data requests & collaborates with Epidemiology Investigators to identify business problems & opportunities to create dashboards to help management identify new data trends & recommend new solutions;
• Collects, analyzes, & documents business requirements for project proposals; Employs analytical results to address business problems &/or opportunities in formats accessible to non technical staff & stakeholders;
• Supports data specialists & scientists in guiding business leaders regarding interpretation & applicability of findings (e.g., program effectiveness, resource allocation, patient care best practices, impact on & patient outcomes, etc.);
• Identifies & validates data sets; Identifies missing or incomplete data & variables in the EMSIRS & OTR data; Analyzes relevant data to understand business patterns & trends;
• Works with Epidemiology Investigators to investigate & resolve data discrepancies across EMS data systems;
• Utilizes Tableau & Statistical Analysis Software (SAS) to complete data visualization requests using Emergency Medical Services Incident Reporting System (EMSIRS) & Ohio Trauma Registry (OTR);
Click here to see full position description
At the State of Ohio, we take care of the team that cares for Ohioans. We provide a variety of quality, competitive benefits to eligible full-time and part-time employees*. For a list of all the State of Ohio Benefits, visit our Total Rewards website ! Our benefits package includes:
  • Medical Coverage
  • Free Dental, Vision and Basic Life Insurance premiums after completion of eligibility period
  • Paid time off, including vacation, personal, sick leave and 11 paid holidays per year
  • Childbirth, Adoption, and Foster Care leave
  • Education and Development Opportunities (Employee Development Funds, Public Service Loan Forgiveness, and more)
  • Public Retirement Systems ( such as OPERS, STRS, SERS, and HPRS ) & Optional Deferred Compensation ( Ohio Deferred Compensation )
*Benefits eligibility is dependent on a number of factors. The Agency Contact listed above will be able to provide specific benefits information for this position.
Qualifications
OPTION 1:
48 mos. exp. in data analytics or statistical analysis or research methods.
OPTION 2:
-Or completion of associate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field;
AND 30 mos. exp. in data analytics, statistical analysis, or research methods.
OPTION 3:
-Or completion of undergraduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field;
AND 24 mos. exp. in data analytics, statistical analysis, or research methods.
OPTION 4:
-Or completion of graduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field;
AND 12 mos. exp. in data analytics, statistical analysis, or research methods.
OPTION 5:
-Or 36 mos. exp as a Data Analytics Associate, 66930.
-Or equivalent of Minimum Class Qualifications for Employment noted above.
Helpful Tips for Applying:
1. Be detailed when describing your current/previous work duties. The more the better!! Don't just write "see attached resume".
2. Tailor your application for each position you apply for. You should clearly describe how you meet the minimum qualifications outlined in this job posting.
3. Respond to all questions asked. If you do not have the education/training/experience that is being asked, select either "No" or "N/A.
Job Skills: Data Analytics
Ohio Department of Aging logo

About Ohio Department of Aging

Sourced by ZipRecruiter

The Ohio Department of Aging, based in Columbus, OH, US, is within the healthcare and service industry, primarily serving older individuals and their care providers throughout the state. As a state government agency, its key role is to ensure the provision of quality services and supports that assist older Ohioans to live healthier, safer and more productive lives. The department functions through the official website, ohio.gov. It was established with a mission to position the State of Ohio on the leading edge of solution-driven innovation for the challenges and opportunities presented by Ohio's rapidly aging population.

Industry

Public administration

Company size

51 - 200 Employees

Headquarters location

Columbus, OH, US

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