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Insurance Data Analytics Jobs in Ohio (NOW HIRING)

AVI Foodsystems

Head of Data & Analytics

Warren, OH · On-site

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Health, dental, vision, and life insurance for full-time team members * 401(k) with generous ...

Copeland

Data Analyst

Sidney, OH · On-site

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics ... insurance plans, dental and vision coverage, 401(k) and more. We provide employees with flexible ...

MECHANICAL SERVICES & DESIGN INC

Data Analyst

Dayton, OH · On-site

$28 - $36/hr

Associate's or Bachelor's degree in Data Analytics, Information Systems, Business, or a related ... Company paid Life Insurance Policy We value our employees and are committed to doing everything ...

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... We offer medical, dental, vision, and life insurances; short and long-term disability; a Company ...

Encova Insurance

Analytics Analyst

Columbus, OH · On-site

$77K - $123K/yr

This role focuses heavily on data engineering, dataset design, and analytical modeling support-serving as a critical bridge between raw insurance data and actionable pricing insights. The analyst ...

Encova Insurance

Analytics Analyst

Columbus, OH · On-site

$77K - $123K/yr

This role focuses heavily on data engineering, dataset design, and analytical modeling support-serving as a critical bridge between raw insurance data and actionable pricing insights. The analyst ...

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Insurance Data Analytics information

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.

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 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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 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, 68% Full Time, 27% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

AVP/VP of Enterprise Analytics

Great American Insurance Group

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

57th of 308 rated insurance

Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
We're hiring a senior leader to head Enterprise Analytics, responsible for descriptive and diagnostic analytics and business intelligence across Great American. We're looking for a leader with experience and vision at a pivotal moment when business intelligence is being reshaped by generative AI, someone who can help us transform thoughtfully while continuing to serve the day-to-day insight needs of a complex, diversified specialty insurer. The ideal leader will be forward-looking, operationally grounded, and deeply collaborative.
You will lead a team of 15-20 analysts and BI professionals, sit on the senior leadership team of Business Data & Analytics (BD&A), and serve as the thought leader to a federated community of 100+ analysts embedded across our divisions and shared services. The title - AVP or VP - will be calibrated to the right candidate. This role reports directly to the Chief Data & Analytics Officer.
Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by business needs.
Essential Job Functions & Responsibilities
  • Lead and develop a team of 15-20 analytics and BI professionals.

  • Drive the vision for AI-enabled, conversational access to business data.

  • Lead change management efforts to prepare the organization for GenAI adoption.

  • Oversee and optimize the legacy reporting environment while managing transition efforts.

  • Balance current reporting needs with forward-looking analytics innovation.

  • Support and influence a federated community of 100+ analysts across the organization.

  • Collaborate with BD&A leaders to align with enterprise data and AI strategy.

  • Partner with business and technology stakeholders to deliver insight-driven value.

What success looks like
  • Evolve the team beyond delivering dashboards and reports to interpreting data and surfacing insights that move the business.

  • Empower the community of more than 100 analysts across Great American, federated and embedded in our divisions, so that they are supported, equipped, and connected to work that the Enterprise Analytics team leads.

  • Right-size investment in the legacy reporting environment without disrupting the business that depends on it.

  • Advance tangible progress toward conversational, AI-enabled access to structured data, with appropriate governance and organizational change management.

  • Peers in BD&A, business unit leadership, and technology view you as a partner who builds toward the shared picture.

Job Qualifications
  • Bachelors Degree required. Post-graduate degree preferred.

  • 8-10+ yearsof progressive experience in data and analytics, business intelligence, insurance data, or a closely related field, including meaningful leadership experience.

  • Insurance industry experience is strongly preferred.Delivering value in this role means understanding the data in the context of our business.

  • Mastery of modern BI platformssuch as Tableau and Power BI. Familiarity with legacy platforms like Cognos is a plus, because part of this role is leading a thoughtful, multi-year transition to right-size investment/dependency on them.

  • Working fluency with cloud data platforms, Snowflake and Azure in particular, sufficient to partner credibly with our technology teams and shape the future-state architecture.

  • A genuine point of view on GenAI in the BI space, and the change-management experience to drive adoption, reshape skill sets, and prepare the workforce for what's coming.

  • Demonstrated executive presence and business fluency.This is a business role reporting through a business leadership chain. The leader must be comfortable in front of senior executives, succinctly communicate how data translates into decisions, and possess the ability to coach a team to do the same.

What this role is not
  • This is not a platform specialist role. We are seeking a business leader who works closely with technologists, not a technologist with a business title.

Business Unit:
Business Data and Analytics
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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