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Assistant Insurance Data Analytics Jobs in Ohio (NOW HIRING)

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 ...

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 ...

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

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Assistant Insurance Data Analytics information

What is the difference between Assistant Insurance Data Analytics vs Insurance Data Analyst?

AspectAssistant Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsTypically an associate degree or relevant certificationBachelor's degree in data analysis, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, supervisedMore independent analysis, project ownership
Employer & Industry UsageInsurance companies, supporting rolesInsurance firms, leading data projects
Common Search & ComparisonEntry-level support roleAdvanced data analysis position

In summary, Assistant Insurance Data Analytics roles are entry-level positions supporting data teams, often requiring less experience and focusing on assisting with data tasks. Insurance Data Analysts typically have more experience, handle complex analysis independently, and lead projects within insurance companies.

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 cities in Ohio are hiring for Assistant Insurance Data Analytics jobs? Cities in Ohio with the most Assistant Insurance Data Analytics job openings:

Sr. Data Governance Analyst - Business Data & Analytics

Great American Insurance Group

Cincinnati, OH • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 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 onsite four days a week, with the flexibility to work one day remotely. Core inoffice 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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