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Insurance Data Analytics Jobs in Ohio (NOW HIRING)

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.

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.

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 ...

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 ...

GXO Logistics

Data Analyst

New Albany, OH · On-site

... insurance, disability and more. What you'll do on a typical day: * Gather data and research the results using statistical techniques and advanced analytics tools; interpret results in a way that can ...

GXO Logistics

Data Analyst

New Albany, OH

... insurance, disability and more. What you'll do on a typical day: * Gather data and research the results using statistical techniques and advanced analytics tools; interpret results in a way that can ...

Collabera

Data Analyst

Hilliard, OH

... Insurance, Disability Insurance. Analyze data for the purpose of identifying data anomalies ... Experience with Oracle or Teradata database desired Prior experience in a data analytics role ...

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Insurance Data Analytics information

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$52

$89

How much do insurance data analytics jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for insurance data analytics in Ohio is $52.05, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.94 per hour, depending on experience, location, and employer.

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.

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 June 2026, with employment types broken down into 80% Full Time, 10% Part Time, 5% Temporary, and 5% Nights. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $108,259 per year, or $52 per hour.

Sr. Data Governance Analyst - Business Data & Analytics

Great American Insurance Group

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

53rd of 260 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.
Business Data & Analytics is seeking a Senior Data Governance Analyst to own and support multiple Enterprise Data Management initiatives that enable trusted, well governed data for enterprise decision making, analytics, and AI-driven use cases. This role partners with Business Units, Data Owners, Data Stewards, and technical teams to translate business needs into actionable governance outcomes, ensuring data is clearly defined, fit-for-purpose, and consumable for reporting, analytics, and AI.
Success in the role requires strong stakeholder engagement, the ability to operationalize governance outcomes, and a working understanding of how high quality, well governed data supports analytics and AI initiatives across the enterprise.
Primary Focus: AI Enabled Governance Outcomes
Deliver three AI-enabled governance outcomes:
  • Glossary automation - Accelerate creation and maintenance of business terms using Company-approved AI, with steward/owner review and accountability.
  • Metadata enrichment - Improve metadata completeness (ownership, definitions, relationships, key attributes) to increase discoverability and AI readiness.
  • Governed data lifecycle - Embed governance checkpoints for analytics/AI data (definitions/ownership, lineage, quality thresholds, usage constraints, responsible use).

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
  • Drive end-to-end governance framework and delivery across prioritized domains (glossary, data quality expectations, and catalog/metadata readiness).
  • Define and standardize business terms, definitions, and ownership; maintain the enterprise business glossary aligned to reporting and AI use.
  • Use AI to accelerate glossary and metadata workflows while ensuring required human review, approval, and accountability.
  • Establish and operationalize data quality rules/thresholds that support fit-for-purpose reporting, analytics, and AI.
  • Drive catalog readiness and metadata enrichment (definitions, relationships, ownership, usage constraints) with technical governance partners.
  • Partner with analytics/AI teams to ensure training datasets meet governance requirements before broader promotion.
  • Enable adoption through clear, business-friendly facilitation and communications that position governance as an accelerator.

Job Requirements
  • Bachelor's degree in Business Analytics, Information Systems, Computer Science, or related fields.
  • 6 or more years of Data Governance or related experience.
  • Strong facilitation and communication skills; able to drive alignment across diverse stakeholders.
  • Proven ability to prioritize, work independently, and deliver in a dynamic environment.
  • Strong understanding of governance concepts (data quality, metadata, lineage) and their impact on analytics/AI outcomes.
  • Experience with governance/catalog tools; experience managing glossary, terms, data standards is a plus.
  • Experience governing analytics, AI or ML datasets and partnering with analytics/data science teams is strongly preferred.
  • Strong analytical and problem-solving skills required.
  • Demonstrated ability to use Company-approved AI responsibly, prompting, and validating outputs and owning final deliverables.

What Success Looks Like
  • Stakeholders trust enterprise definitions and data quality for reporting, analytics, and AI.
  • Measurable progress on glossary automation, metadata enrichment, and governed training datasets.
  • Governance is experienced as an enabler of speed, insight, and innovation. Not a blocker.

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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