Analytics Manager Visa Sponsorship Jobs in Ohio
Ohio's analytics manager market is anchored by major employers in Columbus, Cleveland, and Cincinnati, including Nationwide, Progressive, and Procter and Gamble. The state's strong insurance, retail, and healthcare sectors generate consistent demand for senior analytics talent, and several large employers here have established track records of sponsoring work visas for qualified international candidates.
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Get Access To All JobsLocation:
4900 Tiedeman Road, Brooklyn Ohio
ABOUT THE JOB (JOB BRIEF)
Under direct supervision, the Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to support the development and validation of predictive and machine-learning models for specific business needs. The Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Projects undertaken by the Quantitative Analytics Associate are often broad in scope across multiple business segments and involve evaluation and testing on existing data with substantial team support. Success factors include: timely and effective completion of tasks assigned by manager under significant supervision; building functional knowledge in analytical programming languages, data literacy, and model development; developing communication skills, business acumen, and critical thinking; and establishing relationships with the working team.
ESSENTIAL JOB FUNCTIONS
- Conduct quantitative analysis on large data sets with manager and team support
- Identify common data errors and their impact
- Employ basic best practices for evaluating large data
- Answer key business questions through exploration and discovery
- Find patterns or anomalies by building out visualizations
- Execute basic diagnostics testing under supervision (e.g. performance testing, assumption verification and impacts of limitations)
- Tests, under supervision, suitability / sufficiency for approach (e.g. representativeness)
REQUIRED QUALIFICATIONS
Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 1 year of relevant experience; 0 with Master’s or PhD
DATA LITERACY
Understanding of:
- Data wrangling including information documentation and importing data from different formats
- Descriptive statistics, random variables, common distributions, outliers
Ability to consume, explore, and evaluate big data; can leverage this skill to inform business questions
TECHNOLOGY & TECHNIQUES
- Advanced Microsoft Office Suite
- Navigation, shortcuts, use and share spreadsheet documents
- Python/R/SAS:
- Perform IDE walk-through; shortcuts
- Connect to data bases
- Use functions such as classes, variables, lists, and classes
- Program files, modules, and libraries
MODEL BUILDING & MAINTENANCE
- Familiar with concepts and usage of Data Leakage, Training, Testing, and Validation Sets for model building
- Able to perform basic diagnostics testing
- Understanding of:
- Foundational statistical / measurement concepts, methods, and techniques
- Basic uses, scope, features, benefits, and risks of available modeling methods
EXPECTED COMPETENCIES
- Leadership: Works under general direction / supervision; may work independently, but often needs ongoing guidance and support
- Partnering / Influencing: Limited business partner interaction – work typically assigned by manager; Developing relationship building ability and interpersonal skills; Engage and interact mostly with immediate team and peers; Developing influencing skills
- Business Acumen: Developing basic understanding of business partner strategy; Building financial acumen
- Critical Thinking / Problem Solving: Developing critical thinking skills; Can analyze simple issues with low complexity; Can give perspective to the team addressing basic business/analytical problems and challenges; Recognizes need to escalate issues in a timely manner
- Communication: Basic writing skills; beginning to develop ability to organize information in clear, consistent format; Typically needs assistance with articulating a clear, well-thought out message and formal delivery; Minimal skills in creating PowerPoint presentations; limited formal delivery
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $69,000.00 - $105,000.00 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. Please click here for a list of benefits for which this position is eligible.
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: 11/30/2026
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
Location:
4900 Tiedeman Road, Brooklyn Ohio
ABOUT THE JOB (JOB BRIEF)
Under direct supervision, the Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to support the development and validation of predictive and machine-learning models for specific business needs. The Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Projects undertaken by the Quantitative Analytics Associate are often broad in scope across multiple business segments and involve evaluation and testing on existing data with substantial team support. Success factors include: timely and effective completion of tasks assigned by manager under significant supervision; building functional knowledge in analytical programming languages, data literacy, and model development; developing communication skills, business acumen, and critical thinking; and establishing relationships with the working team.
ESSENTIAL JOB FUNCTIONS
- Conduct quantitative analysis on large data sets with manager and team support
- Identify common data errors and their impact
- Employ basic best practices for evaluating large data
- Answer key business questions through exploration and discovery
- Find patterns or anomalies by building out visualizations
- Execute basic diagnostics testing under supervision (e.g. performance testing, assumption verification and impacts of limitations)
- Tests, under supervision, suitability / sufficiency for approach (e.g. representativeness)
REQUIRED QUALIFICATIONS
Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 1 year of relevant experience; 0 with Master’s or PhD
DATA LITERACY
Understanding of:
- Data wrangling including information documentation and importing data from different formats
- Descriptive statistics, random variables, common distributions, outliers
Ability to consume, explore, and evaluate big data; can leverage this skill to inform business questions
TECHNOLOGY & TECHNIQUES
- Advanced Microsoft Office Suite
- Navigation, shortcuts, use and share spreadsheet documents
- Python/R/SAS:
- Perform IDE walk-through; shortcuts
- Connect to data bases
- Use functions such as classes, variables, lists, and classes
- Program files, modules, and libraries
MODEL BUILDING & MAINTENANCE
- Familiar with concepts and usage of Data Leakage, Training, Testing, and Validation Sets for model building
- Able to perform basic diagnostics testing
- Understanding of:
- Foundational statistical / measurement concepts, methods, and techniques
- Basic uses, scope, features, benefits, and risks of available modeling methods
EXPECTED COMPETENCIES
- Leadership: Works under general direction / supervision; may work independently, but often needs ongoing guidance and support
- Partnering / Influencing: Limited business partner interaction – work typically assigned by manager; Developing relationship building ability and interpersonal skills; Engage and interact mostly with immediate team and peers; Developing influencing skills
- Business Acumen: Developing basic understanding of business partner strategy; Building financial acumen
- Critical Thinking / Problem Solving: Developing critical thinking skills; Can analyze simple issues with low complexity; Can give perspective to the team addressing basic business/analytical problems and challenges; Recognizes need to escalate issues in a timely manner
- Communication: Basic writing skills; beginning to develop ability to organize information in clear, consistent format; Typically needs assistance with articulating a clear, well-thought out message and formal delivery; Minimal skills in creating PowerPoint presentations; limited formal delivery
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $69,000.00 - $105,000.00 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. Please click here for a list of benefits for which this position is eligible.
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: 11/30/2026
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
Analytics Manager Job Roles in Ohio
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Search Analytics Manager Jobs in OhioAnalytics Manager Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for analytics managers?
Several large Ohio-based employers have filed H-1B visa Labor Condition Applications for analytics manager roles, including Progressive Insurance in Mayfield Village, Nationwide in Columbus, Procter and Gamble in Cincinnati, and Cleveland Clinic. Large technology and consulting firms with Ohio offices, such as Accenture and Deloitte, also have active sponsorship histories for senior analytics positions.
Which visa types are most common for analytics manager roles in Ohio?
The H-1B visa is the most common sponsorship pathway for analytics managers in Ohio, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant field such as statistics, computer science, or business analytics. Candidates already holding L-1 visas through multinational employers with Ohio operations may also transfer into analytics manager roles without entering the H-1B lottery.
Which cities in Ohio have the most analytics manager sponsorship jobs?
Columbus generates the highest volume of analytics manager sponsorship activity in Ohio, driven by Nationwide, JPMorgan Chase's operations, and a growing technology sector. Cleveland follows, supported by Progressive Insurance and a concentration of healthcare systems including Cleveland Clinic and University Hospitals. Cincinnati rounds out the top three, with Procter and Gamble, Kroger, and Fifth Third Bank all active in data and analytics hiring.
How to find analytics manager visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically to roles where employers have a history of visa sponsorship, making it straightforward to identify analytics manager openings in Ohio without sorting through positions that won't support international candidates. You can filter by state and role type to see current Ohio listings. Targeting Columbus, Cleveland, and Cincinnati employers in insurance, healthcare, and consumer goods will give you the highest concentration of relevant opportunities.
Are there state-specific factors that affect analytics manager sponsorship in Ohio?
Ohio's concentration of Fortune 500 companies in insurance and consumer goods means many employers are familiar with H-1B sponsorship processes, which can reduce friction compared to smaller regional markets. Ohio State University and Case Western Reserve University also produce strong analytics talent pipelines, so employers in Columbus and Cleveland are generally accustomed to hiring internationally educated candidates and navigating the associated visa requirements.
What is the prevailing wage for sponsored analytics manager 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.