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Insurance Data Analytics Jobs in Ohio (NOW HIRING)

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 · 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 ...

centralins

Data Analytics Manager

Van Wert, OH · Hybrid

Central Insurance is seeking a Data Analytics Manager to lead a highimpact team responsible for delivering datadriven insights and advancing enterprise data capabilities. In this role, you will ...

US Bank

Data Analytics - Operations

Cincinnati, OH · Hybrid

$82K - $104K/yr

As a Data Analyst , you'll work with powerful tools like SQL, Alteryx, and DOMO to transform ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Hylant

Lead Data & Analytics Architect

Toledo, OH · On-site

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

Hylant

Lead Data & Analytics Architect

Cleveland, OH · On-site

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

Hylant

Lead Data & Analytics Architect

Cincinnati, OH · On-site

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

Hylant

Lead Data & Analytics Architect

Toledo, OH · On-site

Hylant is a full-service insurance brokerage with over 20 offices in eight states. They are seeking a Lead Data & Analytics Architect to define and evolve the enterprise application and information ...

Hylant

Lead Data & Analytics Architect

Columbus, OH

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

Hylant

Lead Data & Analytics Architect

Toledo, OH · On-site

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

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Insurance Data Analytics information

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

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.

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.

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

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 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 July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Data & Analytics Specialist

Data & Analytics Specialist

Schaeffler

Wooster, OH • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

Schaeffler rating

7.2

Company rating: 7.2 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

284th of 433 rated machine equipment manufacturers

Job description

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
Your Key Responsibilities
  • Consolidate requirements, develop and implement data concepts and/or analyze, interpret and report on data and related information for the business or domain assigned.
  • Gather and evaluate business needs with respect to data and develop data models that best meet the information requirements.
  • Develop and implement concepts for improving data-related processes, and recommend appropriate IT systems for utilization.
  • Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes and resolve data quality issues.
  • Build or configure reports and analytical solutions to generate additional information from data based on given toolsets.
  • Enable and support stakeholders in the data network and share guidelines, standards and best practices with the organization.
  • Support the planning, rollout, and adoption of S4 HANA and related applications.
  • Implement IT systems and tools that enhance planning, logistics, and supply chain processes.
  • Create and maintain logistics and planning master data in alignment with global standards.
  • Participate in regional and local S4 HANA team meetings, providing insights and feedback from the manufacturing plants.
  • Work directly within manufacturing and logistics environments to understand system impact and operational needs.
  • Train end users on S4 HANA and related systems, promoting consistent standards and best practices.
  • Enable and support stakeholders within the larger data network, sharing knowledge and fostering adoption

Your Qualifications
  • Bachelor's degree in Industrial Engineering, Logistics, or Technical field of study
  • 3 to 5 years experience overall with proven experience in production planning, logistics, supply chain management, or process optimization.
  • Hands-on experience with ERP systems, ideally SAP R/3 or S/4HANA, and manufacturing planning/logistics systems.
  • Strong analytical skills with the ability to consolidate, interpret, and act on complex datasets.
  • Ability to apply systematic approaches and continuous improvement methodologies (Lean, Six Sigma, etc.).
  • Comfortable working near manufacturing and logistics equipment as needed to support operational processes.
  • Applicants must be authorized to work in the US without employment VISA or other sponsorship.

Our Offering
At Schaeffler, our success is driven by our employees. We value what you bring to our business, which is why we are committed to providing you with a competitive, comprehensive benefits program that gives you and your family the care you need to lead healthy, productive lives. This includes amongst others the following:
  • Comprehensive healthcare coverage: Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their well-being and peace of mind.
  • Generous retirement savings options: The company provides competitive 401(k) matching contributions (up to 6%), empowering employees to build a secure financial future.
  • Professional development opportunities: The company invests in its employees' growth by offering skill development workshops, and ongoing learning and development programs. Through our Schaeffler Academy you will have access to a state-of-the-art and comprehensive learning and training offering.
  • Wellness initiatives: Employees have access to wellness programs and resources aimed at promoting physical, mental, and emotional health, fostering a supportive and thriving work environment.

See all of our benefit offerings at https://schaefflerbenefits.com/
We look forward to your application.
Schaeffler is an equal employment opportunity / affirmative action employer. All qualified candidates will receive equal employment opportunities and consideration for employment without regard to unlawful consideration of race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, protected veteran status, or any other status protected by applicable law.
Keywords: Digitalization & Information Technology;

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