Data Analytics Manager Visa Sponsorship Jobs in South Carolina
Data analytics manager roles in South Carolina are concentrated in Charlotte-adjacent markets like Rock Hill and Fort Mill, alongside growing tech and financial services operations in Columbia and Greenville. Major employers including Michelin, Prisma Health, and BMW Manufacturing have sponsored analytics leadership roles. International candidates with H-1B visa or L-1 visa status find active demand across manufacturing, healthcare, and fintech sectors.
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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 Analytics Manager Job Roles in South Carolina
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Search Data Analytics Manager Jobs in South CarolinaData Analytics Manager Jobs in South Carolina: Frequently Asked Questions
Which companies in South Carolina sponsor visas for data analytics managers?
Companies with documented sponsorship activity for analytics roles in South Carolina include Michelin North America (Greenville), BMW Manufacturing (Spartanburg), Prisma Health, and financial services firms operating in the Charlotte metro's South Carolina suburbs. Technology consultancies and healthcare systems in Columbia also appear in Department of Labor LCA filings for data analytics manager positions.
Which visa types are most common for data analytics manager roles in South Carolina?
The H-1B is the most common visa for data analytics managers in South Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in statistics, computer science, or a related field. Multinational companies like BMW and Michelin also use the L-1A for managers transferring from overseas operations. TN visas are an option for Canadian and Mexican nationals in qualifying analytical roles.
Which cities in South Carolina have the most data analytics manager sponsorship jobs?
Greenville and Spartanburg lead for manufacturing-sector analytics roles, driven by the concentration of automotive and industrial employers. Columbia offers opportunities through state government contractors, healthcare systems, and the University of South Carolina's research operations. The Fort Mill and Rock Hill corridor, part of the greater Charlotte metro, attracts financial services and technology employers who regularly sponsor analytics leadership positions.
How to find data analytics manager visa sponsorship jobs in South Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data analytics manager openings in South Carolina without sorting through roles that won't support international candidates. You can narrow results by location within the state, such as Greenville, Columbia, or the Charlotte metro border region, to focus on employers actively hiring sponsored analytics managers.
Are there state-specific factors that affect visa sponsorship for data analytics managers in South Carolina?
South Carolina's manufacturing-heavy economy means a meaningful share of sponsoring employers are large multinationals with established HR and immigration infrastructure, which generally makes the sponsorship process more straightforward than with smaller firms. The state's growing university research ecosystem, particularly around Clemson and the University of South Carolina, also produces employer partnerships that can support OPT extensions and H-1B transitions for analytics professionals already in the state.
What is the prevailing wage for sponsored data analytics manager 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.