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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Get Access To All JobsINTRODUCTION
WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat!
We are looking for an Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.
BASIC QUALIFICATIONS
- 2–5 years of professional experience in data science or advanced marketing analytics. We value a background that combines marketing domain expertise with technical data science rigor.
- Strong command of R and/or Python for data manipulation and statistical analysis.
- Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design. Familiarity with causal inference methods is a significant plus.
- Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs.
- Bonus Points: Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
- Bonus Points: Exceptional "data-to-story" skills—the ability to explain the "so what" behind a coefficient or a p-value.
- Bonus Points: Adobe Analytics.
Responsibilities
- Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
- Assist in designing and executing reporting, analytics, and optimization briefs.
- Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
- Perform analysis to uncover actionable insights and develop data-driven recommendations.
- Present findings to internal and client stakeholders in a clear, business-focused way.
WHAT YOU'LL NEED TO ACCOMPLISH IN YOUR FIRST YEAR
- Contribute consistently to the experimentation backlog through research, structured hypothesis development, and KPI alignment.
- Deliver clear, actionable insights from analysis and test results that help clients make confident, data-driven decisions.
COMPENSATION
Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.
INTRODUCTION
WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat!
We are looking for an Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.
BASIC QUALIFICATIONS
- 2–5 years of professional experience in data science or advanced marketing analytics. We value a background that combines marketing domain expertise with technical data science rigor.
- Strong command of R and/or Python for data manipulation and statistical analysis.
- Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design. Familiarity with causal inference methods is a significant plus.
- Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs.
- Bonus Points: Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
- Bonus Points: Exceptional "data-to-story" skills—the ability to explain the "so what" behind a coefficient or a p-value.
- Bonus Points: Adobe Analytics.
Responsibilities
- Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
- Assist in designing and executing reporting, analytics, and optimization briefs.
- Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
- Perform analysis to uncover actionable insights and develop data-driven recommendations.
- Present findings to internal and client stakeholders in a clear, business-focused way.
WHAT YOU'LL NEED TO ACCOMPLISH IN YOUR FIRST YEAR
- Contribute consistently to the experimentation backlog through research, structured hypothesis development, and KPI alignment.
- Deliver clear, actionable insights from analysis and test results that help clients make confident, data-driven decisions.
COMPENSATION
Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.
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 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.
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