Data Science Analyst Visa Sponsorship Jobs in Ohio
Ohio's data science analyst job market is anchored by employers like JPMorgan Chase, Nationwide, and Procter & Gamble, alongside a strong presence of health systems and manufacturing firms in Columbus, Cincinnati, and Cleveland. Several of these organizations have established visa sponsorship histories, making Ohio a practical target for international candidates pursuing data science analyst roles.
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Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.
Responsibilities:
- Ability to analyze complex data sets and create actionable insights
- Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
- Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
- Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
- Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
- Performs validation and testing to confirm the accuracy of the information created
- Interprets results of analyses, identifies trends, and issues, and develops recommendations to support business objectives
- Communicates complex information so that it is easy to understand and influences others to take action based on the useful information provided
- Facilitate the design and development of product features
- Interview subject matter experts, customers, and other stakeholders to identify and clarify requirements
- Establish rapport with stakeholders and ensure that their questions and concerns are clearly documented
- Present on-time delivery of requirements and user stories/specifications
- Support the creation and maintenance of project documentation
- Write user stories, technical requirements for projects including complex business rules, logic flow diagrams, conditional logic, use cases and specific workflows
Qualifications
- Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
- 2+ years of experience working in Data Science
- Professional experience with, and more than a basic understanding of AI technology
- Proficient in building process flow diagrams and data mapping
- Experience with agile development and software development life cycle (SDLC) processes
- Proficiency with SQL programming
- Extensive experience working in a BI environment and familiarity with data warehouses
- Extensive experience in gathering and documenting business requirements
- Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
- Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
- Excellent written and verbal communication skills
Education
Required Bachelors or better in Computer Science or related field
Bachelors or better in Statistics or related field
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Summary
Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.
Responsibilities:
- Ability to analyze complex data sets and create actionable insights
- Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
- Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
- Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
- Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
- Performs validation and testing to confirm the accuracy of the information created
- Interprets results of analyses, identifies trends, and issues, and develops recommendations to support business objectives
- Communicates complex information so that it is easy to understand and influences others to take action based on the useful information provided
- Facilitate the design and development of product features
- Interview subject matter experts, customers, and other stakeholders to identify and clarify requirements
- Establish rapport with stakeholders and ensure that their questions and concerns are clearly documented
- Present on-time delivery of requirements and user stories/specifications
- Support the creation and maintenance of project documentation
- Write user stories, technical requirements for projects including complex business rules, logic flow diagrams, conditional logic, use cases and specific workflows
Qualifications
- Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
- 2+ years of experience working in Data Science
- Professional experience with, and more than a basic understanding of AI technology
- Proficient in building process flow diagrams and data mapping
- Experience with agile development and software development life cycle (SDLC) processes
- Proficiency with SQL programming
- Extensive experience working in a BI environment and familiarity with data warehouses
- Extensive experience in gathering and documenting business requirements
- Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
- Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
- Excellent written and verbal communication skills
Education
Required Bachelors or better in Computer Science or related field
Bachelors or better in Statistics or related field
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Data Science Analyst Job Roles in Ohio
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Search Data Science Analyst Jobs in OhioData Science Analyst Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for data science analysts in Ohio?
Ohio's largest visa sponsors for data science analyst roles include JPMorgan Chase and Nationwide in Columbus, Procter & Gamble in Cincinnati, and Cleveland Clinic in Cleveland. Large insurers, regional banks, and manufacturing conglomerates like Kroger and Huntington Bancshares also have documented H-1B visa sponsorship histories. University-affiliated research centers and healthcare networks round out the employer base sponsoring analytical talent across the state.
Which visa types are most common for data science analyst roles in Ohio?
The H-1B is the most frequently used visa for data science analyst positions in Ohio, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or mathematics. OPT and STEM OPT are common entry points for graduates from Ohio State, Case Western Reserve, and Cincinnati. The O-1A is an option for candidates with exceptional research or publication records.
Which cities in Ohio have the most data science analyst sponsorship jobs?
Columbus is Ohio's primary hub for data science analyst sponsorship, driven by its concentration of financial services firms, insurance companies, and a large state government presence. Cincinnati follows, with consumer goods companies and healthcare employers actively hiring analytical talent. Cleveland's health systems, particularly Cleveland Clinic and University Hospitals, generate consistent demand. Dayton has a smaller but notable presence tied to defense contractors and logistics firms.
How to find data science analyst visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for international candidates and filters data science analyst roles in Ohio by visa sponsorship history, so you're not sifting through postings from employers who don't sponsor. Focus on Columbus and Cincinnati first, where sponsorship activity among financial, insurance, and consumer goods employers is most concentrated. Cross-reference any offer with the employer's LCA filing history through the DOL disclosure database to confirm active sponsorship.
Are there state-specific considerations for data science analysts seeking sponsorship in Ohio?
Ohio's prevailing wage requirements for H-1B positions are determined by the Bureau of Labor Statistics Occupational Employment and Wage Statistics data for each metropolitan area, meaning Columbus wages differ from those in Cleveland or Dayton. Ohio's strong university pipeline through Ohio State, Case Western Reserve, and University of Cincinnati means employers are accustomed to hiring and sponsoring international graduates. Candidates with STEM OPT should account for Ohio's competitive but accessible mid-market employer base outside major coastal hubs.
What is the prevailing wage for sponsored data science 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.