Data Analyst Visa Sponsorship Jobs in South Carolina
South Carolina's data analyst job market is anchored by financial services firms in Charlotte's cross-border corridor, healthcare systems like MUSC and Prisma Health, and manufacturing operations from BMW and Michelin. Columbia, Greenville, and Charleston are the primary hiring hubs, with growing demand from state government agencies and tech-forward employers willing to sponsor H-1B visa and other work visas.
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Get Access To All JobsINTRODUCTION
The Fraud Data & Technology Analyst drives data-informed decision-making through analytics, reporting, technology support, and rule optimization. This role delivers actionable insights, evaluates fraud trends and program performance, and supports initiatives that strengthen detection, prevention, and mitigation capabilities. Working closely with the Fraud Data & Technology Lead and cross-functional partners, the analyst helps optimize fraud technologies, enhance controls, improve operational effectiveness, and strengthen customer protection.
ROLE AND RESPONSIBILITIES
What You’ll Do:
Reporting & Analytics:
- Build, automate, and maintain fraud KPIs, dashboards, and reports to measure program performance, loss drivers, mitigation outcomes, and emerging fraud trends.
- Analyze fraud data and translate complex findings into actionable insights, recommendations, and strategic reporting for leadership, operations, and frontline teams.
- Conduct performance assessments, cost-benefit analyses, business case development, and industry research to support fraud strategy, risk identification, and continuous improvement initiatives.
Fraud Technology Support:
- Support the administration, maintenance, optimization, and performance of fraud-related applications, platforms, tools, and system enhancements.
- Coordinate and participate in testing, validation, implementation, troubleshooting, issue resolution, and performance monitoring to ensure technology effectiveness and operational reliability.
- Partner with internal technology teams, business stakeholders, and vendors to support fraud technology initiatives while documenting business processes, system functionality, and operational workflows for governance and knowledge sharing.
Rules & Model Management:
- Tune, calibrate, and optimize fraud detection rules, models, and decisioning strategies to improve detection effectiveness while balancing operational efficiency and customer experience.
- Analyze rule and model performance through testing, alert reviews, and performance metrics, recommending enhancements to fraud monitoring strategies and detection controls.
Data Management:
- Ensure the accuracy, integrity, reliability, and quality of data used in fraud reporting, analysis, and decision-making.
- Support data governance initiatives through documentation, maintenance of data dictionaries and reporting methodologies, quality validation, issue identification, and adherence to reporting standards.
Cross-Functional Partnership:
- Collaborate with stakeholders to identify opportunities for process improvements, automation, and enhanced fraud controls.
- Partner with Fraud Operations, Risk, Compliance, IT, and business teams to support fraud mitigation efforts.
- Provide analytical support and subject matter expertise for fraud-related initiatives.
BASIC QUALIFICATIONS
Requirements For Success:
- Bachelor's degree or higher preferred
- 3+ years of experience in fraud analytics, fraud technology or operations, risk management, or a related field.
Required Skills:
- Hands-on experience with fraud and/or banking platforms.
- Experience with data visualization and reporting tools (e.g., Tableau, Power BI, etc.).
- Experience querying and analyzing large datasets using SQL or similar data analysis tools.
- Knowledge of fraud typologies across payments, digital identity, account takeover, and application fraud.
- Strong analytical, problem-solving, and communication skills.
- Demonstrated ability to collaborate effectively with cross-functional teams.
PREFERRED QUALIFICATIONS
Preferred Skills:
- Experience with machine learning concepts or partnering with data science teams.
- Experience creating or maintaining process maps for technical or operational processes.
- Familiarity with APIs, system integrations, or cloud-based data environments.
- Ability to present complex data insights in a clear and concise manner to both technical and non-technical audiences.
CONDITIONS OF EMPLOYMENT
- Must be able to pass a criminal background & credit check.
- This is a full-time, non-remote position that requires schedule flexibility to work evenings and weekends as needed.
- Up to 10% of travel may be required.
FLSA Status: Exempt
COMPENSATION
Pay Range: USD $49,972.00 - USD $76,958.00 /Yr.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
INTRODUCTION
The Fraud Data & Technology Analyst drives data-informed decision-making through analytics, reporting, technology support, and rule optimization. This role delivers actionable insights, evaluates fraud trends and program performance, and supports initiatives that strengthen detection, prevention, and mitigation capabilities. Working closely with the Fraud Data & Technology Lead and cross-functional partners, the analyst helps optimize fraud technologies, enhance controls, improve operational effectiveness, and strengthen customer protection.
ROLE AND RESPONSIBILITIES
What You’ll Do:
Reporting & Analytics:
- Build, automate, and maintain fraud KPIs, dashboards, and reports to measure program performance, loss drivers, mitigation outcomes, and emerging fraud trends.
- Analyze fraud data and translate complex findings into actionable insights, recommendations, and strategic reporting for leadership, operations, and frontline teams.
- Conduct performance assessments, cost-benefit analyses, business case development, and industry research to support fraud strategy, risk identification, and continuous improvement initiatives.
Fraud Technology Support:
- Support the administration, maintenance, optimization, and performance of fraud-related applications, platforms, tools, and system enhancements.
- Coordinate and participate in testing, validation, implementation, troubleshooting, issue resolution, and performance monitoring to ensure technology effectiveness and operational reliability.
- Partner with internal technology teams, business stakeholders, and vendors to support fraud technology initiatives while documenting business processes, system functionality, and operational workflows for governance and knowledge sharing.
Rules & Model Management:
- Tune, calibrate, and optimize fraud detection rules, models, and decisioning strategies to improve detection effectiveness while balancing operational efficiency and customer experience.
- Analyze rule and model performance through testing, alert reviews, and performance metrics, recommending enhancements to fraud monitoring strategies and detection controls.
Data Management:
- Ensure the accuracy, integrity, reliability, and quality of data used in fraud reporting, analysis, and decision-making.
- Support data governance initiatives through documentation, maintenance of data dictionaries and reporting methodologies, quality validation, issue identification, and adherence to reporting standards.
Cross-Functional Partnership:
- Collaborate with stakeholders to identify opportunities for process improvements, automation, and enhanced fraud controls.
- Partner with Fraud Operations, Risk, Compliance, IT, and business teams to support fraud mitigation efforts.
- Provide analytical support and subject matter expertise for fraud-related initiatives.
BASIC QUALIFICATIONS
Requirements For Success:
- Bachelor's degree or higher preferred
- 3+ years of experience in fraud analytics, fraud technology or operations, risk management, or a related field.
Required Skills:
- Hands-on experience with fraud and/or banking platforms.
- Experience with data visualization and reporting tools (e.g., Tableau, Power BI, etc.).
- Experience querying and analyzing large datasets using SQL or similar data analysis tools.
- Knowledge of fraud typologies across payments, digital identity, account takeover, and application fraud.
- Strong analytical, problem-solving, and communication skills.
- Demonstrated ability to collaborate effectively with cross-functional teams.
PREFERRED QUALIFICATIONS
Preferred Skills:
- Experience with machine learning concepts or partnering with data science teams.
- Experience creating or maintaining process maps for technical or operational processes.
- Familiarity with APIs, system integrations, or cloud-based data environments.
- Ability to present complex data insights in a clear and concise manner to both technical and non-technical audiences.
CONDITIONS OF EMPLOYMENT
- Must be able to pass a criminal background & credit check.
- This is a full-time, non-remote position that requires schedule flexibility to work evenings and weekends as needed.
- Up to 10% of travel may be required.
FLSA Status: Exempt
COMPENSATION
Pay Range: USD $49,972.00 - USD $76,958.00 /Yr.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Data Analyst Job Roles in South Carolina
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Search Data Analyst Jobs in South CarolinaData Analyst Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for data analysts in South Carolina?
Financial institutions, large healthcare networks, and major manufacturers are among the most active sponsors. MUSC Health, Prisma Health, BMW Manufacturing, Michelin North America, and state-level consulting firms have histories of H-1B sponsorship for analytical roles. Technology-adjacent firms supporting the finance and insurance sectors in Columbia and Greenville also appear regularly in Department of Labor disclosure data for data analyst positions.
Which visa types are most common for data analyst roles in South Carolina?
The H-1B is the most common visa category for data analyst roles in South Carolina, as the position 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. Some employers also sponsor OPT extensions including STEM OPT, which gives F-1 graduates up to three years of work authorization before needing H-1B sponsorship.
Which cities in South Carolina have the most data analyst sponsorship jobs?
Columbia has the highest concentration of sponsoring employers, driven by state government contractors, financial services firms, and the University of South Carolina's research operations. Greenville is a strong second, with manufacturing analytics roles at BMW and Michelin. Charleston has a growing tech and healthcare analytics presence through MUSC and an expanding startup sector. Spartanburg also sees some demand tied to advanced manufacturing.
How to find data analyst visa sponsorship jobs in South Carolina?
Migrate Mate is built specifically for international job seekers and filters data analyst roles by visa sponsorship status, so you can focus on employers already willing to sponsor rather than cold-applying to companies that may decline. Searching within South Carolina on Migrate Mate surfaces active roles in Columbia, Greenville, and Charleston from employers with documented sponsorship histories in analytics and data roles.
Are there any state-specific considerations for data analysts seeking sponsorship in South Carolina?
South Carolina's university pipeline, particularly from Clemson University and the University of South Carolina, produces a steady supply of local candidates, which means sponsored roles tend to go to applicants with specialized skills in areas like supply chain analytics, healthcare informatics, or financial modeling. Employers must certify a prevailing wage through a Labor Condition Application before filing an H-1B petition, so roles at larger institutions with established HR processes typically move faster through sponsorship.
What is the prevailing wage for sponsored data analyst jobs in South Carolina?
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.