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 154+ Data Analyst Jobs in Ohio with Visa Sponsorship










See all 154+ 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 Jobs
Location:
127 Public Square, Cleveland Ohio
JOB BRIEF (PURPOSE)
Credit Portfolio Management (CPM) is Credit Risk’s centralized analytics area, partnering with key stakeholders throughout the Bank to strengthen Credit decision-making, portfolio risk management, and strategic planning. This role is responsible for leading quantitative analysis and portfolio research efforts, developing insights from internal and external data, and communicating actionable recommendations to senior leaders regarding emerging risks, portfolio performance, industry trends, and credit migration dynamics.
ESSENTIAL JOB FUNCTIONS
- Lead quantitative analysis of portfolio performance, risk concentrations, emerging risks, and credit migration trends across Key's commercial credit portfolios.
- Develop insights and recommendations through analysis of internal and external data sources, including portfolio performance data, economic indicators, industry trends, and peer benchmarking.
- Lead efforts to advance CPM's analytical capabilities through continuous improvement initiatives, including the annual recalibration of portfolio tolerances, limits, and related monitoring frameworks.
- Partner with Treasury, Finance, Credit Risk, and Line of Business stakeholders to support portfolio management, strategic planning, and risk management objectives.
- Proactively identify opportunities to improve analytical processes, reporting capabilities, data quality, automation, and overall efficiency.
- Develop and maintain analytical reporting, dashboards, and monitoring tools that support portfolio management, risk oversight, and executive decision-making.
- Present analytical findings, portfolio assessments, and risk insights to business partners and senior leadership in a clear and actionable manner.
MARGINAL OR PERIPHERAL FUNCTIONS
- Perform additional duties or project work as assigned.
REQUIRED QUALIFICATIONS
- Bachelor's degree in Mathematics, Statistics, Data Science, Engineering, Finance, Economics, Computer Science, Data and Business Analytics or other quantitative fields of study or relevant experience.
- 3+ years of experience in credit risk, portfolio management, quantitative analytics, banking, financial services, or a related discipline.
- Strong analytical and problem-solving skills with the ability to synthesize large and complex datasets, quantify business impacts, and develop actionable insights supporting strategic, risk management, and portfolio management decisions.
- Experience utilizing SQL and/or analytical programming languages (Python, SAS, R, or equivalent) to query, analyze, and transform data.
- Experience developing data visualizations, dashboards, and analytical reporting using Tableau, Power BI, or similar tools.
- Strong written and verbal communication skills with the ability to present analytical findings and recommendations to business partners and senior leadership.
- Demonstrated attention to detail, intellectual curiosity, and the ability to manage multiple priorities while maintaining high standards of accuracy.
- Advanced proficiency with Microsoft Excel and PowerPoint.
- Knowledge of database concepts, data extraction techniques, process automation, and quantitative analytical methods.
- Support the development of analysts and less experienced team members through collaboration, coaching, and knowledge sharing.
PREFERRED QUALIFICATIONS
- Experience in commercial banking, credit risk management, portfolio analytics, risk reporting, or financial services.
- Experience utilizing cloud-based analytical platforms, data warehouses, and modern data pipeline architectures.
- Experience supporting portfolio risk monitoring, concentration management, risk governance, or executive-level reporting.
- Knowledge of credit migration analysis, portfolio performance measurement, peer benchmarking, early warning indicators, industry risk assessment methodologies, or quantitative modeling techniques.
COMPETENCIES/SKILLS
- Communication: Ability to communicate complex analytical concepts and portfolio insights clearly and effectively to both technical and non-technical audiences. Strong written, verbal, and presentation skills with the ability to develop executive-level materials and deliver actionable recommendations.
- Partnering / Influencing: Builds strong relationships across Credit Risk, Treasury, Finance, and Line of Business partners. Effectively collaborates across teams, challenges assumptions constructively, and influences decision-making through data-driven insights and recommendations.
- Business Acumen: Demonstrates a strong understanding of banking, credit risk, portfolio management, and financial performance drivers. Applies business knowledge to translate analytical findings into meaningful strategic and risk management insights.
- Critical Thinking / Problem Solving: Applies analytical rigor and sound judgment to evaluate complex business problems, identify emerging risks, and develop practical solutions. Able to independently formulate hypotheses, assess alternatives, and recommend appropriate courses of action.
- Results Orientation: Effectively manages multiple priorities while maintaining high standards of quality and accuracy. Demonstrates accountability for outcomes, proactively identifies obstacles, and drives initiatives to completion within established timelines.
- Initiative & Continuous Improvement: Demonstrates ownership of analytical processes and outcomes. Proactively identifies opportunities to improve methodologies, reporting, automation, and business processes while driving solutions to completion.
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 11/14/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
LI-Hybrid
Data Analyst Job Roles in Ohio
See all 154+ 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.