Data Analyst Visa Sponsorship Jobs in Ohio
Ohio's data analyst job market draws international candidates to employers across Columbus, Cleveland, and Cincinnati. Major players like JPMorgan Chase, Nationwide Insurance, and Procter and Gamble have established tech and analytics operations in the state, and Ohio's growing fintech, healthcare, and manufacturing sectors generate consistent demand for sponsored data analyst roles.
Find Data Analyst JobsOverview
Showing 5 of 285+ Data Analyst Jobs in Ohio with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 285+ Data Analyst Jobs in Ohio with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analyst Jobs in Ohio with Visa Sponsorship.
Get Access To All JobsROLE
-
Build and maintain HEART dashboard views with division-level and BU-level drill-downs.
-
Analyze AI adoption across divisions, including active users, new users, repeat users, usage frequency, session depth, task completion, and adoption trends.
-
Create cross-division comparison views for leadership to identify high-adoption groups, low-adoption groups, enablement needs, and AI maturity patterns.
-
Analyze user-created GPT activity, including creation trends, usage frequency, most-used GPTs, underused GPTs, stale GPTs, reclaim candidates, and replication opportunities.
-
Create leaderboard and cohort views for top users by division, top GPT creators, AI Champions, power users, and emerging adoption pockets.
-
Develop AI Champions self-service dashboard views with filters, exports, and role-based reporting by division or BU.
-
Analyze token economics by model, BU, use case, application, provider, and time period.
-
Build spend and consumption reports showing forecast vs. actual spend, cost per user, cost per GPT, cost per use case, token intensity, and quota utilization.
-
Identify abnormal usage patterns, high-cost use cases, model inefficiencies, and opportunities for model rightsizing.
-
Create observability dashboards for RAG and AI infrastructure, including latency, error rates, pipeline freshness, indexing status, retrieval issues, and availability trends.
-
Support dashboard UAT, metric validation, data reconciliation, and stakeholder walkthroughs.
-
Translate analysis into actionable recommendations for AI Ops, AI Champions, finance, and leadership.
LOCATION
Cincinnati, OH
JOB FUNCTION
TECHNOLOGY
DESIRED SKILLS
Artificial intelligence | Data Analyst
SALARY RANGE
$100,000-$150,000 a year
ROLE
-
Build and maintain HEART dashboard views with division-level and BU-level drill-downs.
-
Analyze AI adoption across divisions, including active users, new users, repeat users, usage frequency, session depth, task completion, and adoption trends.
-
Create cross-division comparison views for leadership to identify high-adoption groups, low-adoption groups, enablement needs, and AI maturity patterns.
-
Analyze user-created GPT activity, including creation trends, usage frequency, most-used GPTs, underused GPTs, stale GPTs, reclaim candidates, and replication opportunities.
-
Create leaderboard and cohort views for top users by division, top GPT creators, AI Champions, power users, and emerging adoption pockets.
-
Develop AI Champions self-service dashboard views with filters, exports, and role-based reporting by division or BU.
-
Analyze token economics by model, BU, use case, application, provider, and time period.
-
Build spend and consumption reports showing forecast vs. actual spend, cost per user, cost per GPT, cost per use case, token intensity, and quota utilization.
-
Identify abnormal usage patterns, high-cost use cases, model inefficiencies, and opportunities for model rightsizing.
-
Create observability dashboards for RAG and AI infrastructure, including latency, error rates, pipeline freshness, indexing status, retrieval issues, and availability trends.
-
Support dashboard UAT, metric validation, data reconciliation, and stakeholder walkthroughs.
-
Translate analysis into actionable recommendations for AI Ops, AI Champions, finance, and leadership.
LOCATION
Cincinnati, OH
JOB FUNCTION
TECHNOLOGY
DESIRED SKILLS
Artificial intelligence | Data Analyst
SALARY RANGE
$100,000-$150,000 a year
Data Analyst Job Roles in Ohio
See all 285+ Data Analyst Jobs in Ohio
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Analyst Jobs in OhioData Analyst Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for data analysts?
Several large Ohio-based employers have documented H-1B visa sponsorship histories for data analyst roles, including JPMorgan Chase and Huntington National Bank in Columbus, Progressive Insurance in Mayfield Village, Procter and Gamble in Cincinnati, and the Cleveland Clinic health system. Larger enterprises tend to sponsor more consistently than mid-sized firms, though Ohio's growing tech sector has expanded the pool of sponsoring employers.
What visa types are most common for data analyst roles in Ohio?
The H-1B is the most common work visa for data analyst positions in Ohio, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field like statistics, computer science, or economics. Some candidates already authorized through OPT or STEM OPT also fill data analyst roles while pursuing H-1B sponsorship. Candidates from Canada or Mexico may qualify for the TN visa under the NAFTA successor agreement.
Which Ohio cities have the most data analyst visa sponsorship jobs?
Columbus leads Ohio for data analyst sponsorship activity, driven by its concentration of financial services, insurance, and retail analytics employers, along with proximity to Ohio State University. Cincinnati is a strong secondary market, anchored by consumer goods companies and healthcare systems. Cleveland follows, with sponsorship activity concentrated in healthcare analytics and financial services. Smaller markets like Dayton and Akron see more limited but real sponsorship activity.
How to find data analyst visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify data analyst roles in Ohio where employers are actively willing to sponsor. Rather than sorting through general job boards and guessing at sponsorship policies, Migrate Mate surfaces roles already tagged for sponsorship, so you can focus your applications on Columbus, Cincinnati, and Cleveland employers who have indicated they will support the visa process.
Are there state-specific factors that affect data analyst sponsorship in Ohio?
Ohio's strong university pipeline, particularly from Ohio State University, Case Western Reserve University, and the University of Cincinnati, means employers in the state are accustomed to hiring candidates who need visa support. Ohio's lower cost of living relative to coastal tech hubs also means prevailing wage requirements for data analyst roles are generally more manageable for employers, which can make sponsorship a more straightforward business decision for mid-sized Ohio companies.
What is the prevailing wage for sponsored 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.