Business Data Analyst Visa Sponsorship Jobs in Ohio
Ohio's business data analyst job market is anchored by major employers in Columbus, Cleveland, and Cincinnati, including Nationwide Insurance, Progressive, Procter & Gamble, and JPMorgan Chase. These industries, spanning insurance, finance, retail, and healthcare, regularly file for work visas to fill analytical roles requiring specialized quantitative and data skills.
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Get Access To All JobsINTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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.
*Excludes seasonal employees and interns.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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.
*Excludes seasonal employees and interns.
Business Data Analyst Job Roles in Ohio
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Search Business Data Analyst Jobs in OhioBusiness Data Analyst Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for business data analysts?
Ohio has a strong base of large employers that have historically filed H-1B visa petitions for analytical roles. Companies like Nationwide Insurance and Progressive in Columbus, KeyBank and Cleveland Clinic in Cleveland, and Procter & Gamble and Fifth Third Bank in Cincinnati are among those with documented sponsorship activity. Large healthcare systems such as OhioHealth and University Hospitals also hire business data analysts and have sponsored work visas.
Which visa types are most common for business data analyst roles in Ohio?
The H-1B is by far the most common visa category for business data analyst positions in Ohio, as the role typically requires at least a bachelor's degree in a specific field such as statistics, business analytics, or computer science, qualifying it as a specialty occupation. Some applicants with Canadian or Mexican citizenship pursue TN visas under the economist or computer systems analyst categories, depending on their specific job duties and educational background.
Which cities in Ohio have the most business data analyst visa sponsorship jobs?
Columbus is Ohio's largest concentration of sponsorship activity for business data analysts, driven by the insurance, financial services, and technology sectors clustered there. Cleveland is a secondary hub with strong demand from healthcare and banking employers. Cincinnati adds meaningful volume through consumer goods companies and regional financial institutions. Columbus also benefits from proximity to The Ohio State University, which supplies a pipeline of analytics talent that employers actively recruit and sponsor.
How to find business data analyst visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for international job seekers and filters business data analyst roles in Ohio by visa sponsorship history, so you're not wasting time on listings from employers who don't sponsor. Because Ohio's sponsorship activity is concentrated in specific industries and cities, using a focused tool like Migrate Mate helps you identify which Columbus, Cleveland, or Cincinnati employers have actually filed petitions for analytical roles rather than relying on general job boards.
Are there any Ohio-specific considerations for business data analysts seeking visa sponsorship?
Ohio's prevailing wage requirements for H-1B petitions are determined by the Department of Labor based on the specific metro area, so the certified wage for a Columbus-based role will differ from one in Cleveland or Cincinnati. Ohio State University, Case Western Reserve University, and the University of Cincinnati produce substantial numbers of international students in analytics and data-related programs, creating a competitive but well-established pipeline that many Ohio employers are already familiar with navigating.
What is the prevailing wage for sponsored business data analyst jobs in Ohio?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.