Business Data Analyst Visa Sponsorship Jobs in South Carolina
Business data analyst visa sponsorship jobs in South Carolina are concentrated in Charlotte-adjacent markets like Rock Hill, along with Columbia and Greenville, where employers in financial services, healthcare, and advanced manufacturing operate. Companies such as Synchrony, Prisma Health, and BMW Manufacturing have filed LCAs for analytical roles requiring H-1B sponsorship.
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Get Access To All JobsBusiness Intelligence (BI) Developer
Skills (BI Developer – Insurance):
- Power BI (DAX, Power Query, Semantic Data Modeling)
- IBM Cognos Analytics
- SQL (Complex Queries, Performance Tuning)
- Star Schema & Dimensional Data Modeling
- Azure Data Platform (Azure Data Lake, Azure SQL)
- Guidewire DataHub / InfoCenter
- Insurance Analytics (P&C Claims, Underwriting, Billing Data)
Skilled Business Intelligence (BI) Developer to design, develop, and deliver enterprise-grade reporting, dashboards, and analytical solutions. This role leverages Power BI and IBM Cognos Analytics to provide actionable insights across Claims, Underwriting, Agency, Finance, and Operations. The ideal candidate brings a strong combination of insurance domain expertise, technical BI proficiency, and the ability to translate complex business requirements into scalable, governed data and visualization solutions.
Key Responsibilities
Data & Guidewire Integration:
- Design and develop reporting solutions leveraging data from Policy, Claims, Billing, Agency Management systems, and third-party data sources
- Build reusable semantic and data models to support enterprise analytics
- Collaborate closely with business stakeholders and Data Engineering teams on ETL/ELT processes and curated data layer integration
BI & Visualization Development:
- Develop interactive dashboards and reports using:
- Power BI
- IBM Cognos Analytics
- Build executive level dashboards (Senior Leadership Team ready views)
- Develop operational dashboards across the enterprise
- Implement row level security (RLS) and role based access
- Translate business KPIs into structured, reusable data models
- Partner with Claims, Underwriting, and Finance stakeholders to refine and standardize metrics
- Design and deliver cloud-based BI solutions on Azure, leveraging Azure Data Lake, Azure SQL, and Power BI to enable scalable, secure analytics
- Build and optimize semantic models and dashboards using Power BI, integrating data from Azure platforms with strong performance, governance, and cost efficiency
Data Modeling & Architecture:
- Design and implement star schemas for reporting and analytics
- Develop advanced DAX calculations and measures in Power BI
- Optimize report performance through query tuning and aggregation strategies
- Ensure data lineage, governance, and metric consistency
- Support Medallion architecture (Raw → Silver → Gold)
- Leverage Copilot and other LLM tools to enable self-service analytics and reporting
Governance & Quality:
- Perform data validation and reconciliation against source systems
- Implement and support data quality checks
- Support audit and regulatory reporting requirements
- Document data definitions, transformations, and business logic
Required Qualifications
Technical Skills:
- 5+ years of experience in BI / Data Analytics development
- 3+ years working with insurance products
- Strong hands-on experience with:
- Power BI (DAX, Power Query, data modeling)
- IBM Cognos Analytics
- Strong SQL skills (complex joins, window functions, performance tuning)
- Experience with Azure, Data Lake, and SQL Server preferred
- Experience working with large insurance datasets
Insurance Domain Knowledge:
- Strong understanding of:
- P&C insurance operations
- Claims lifecycle and reserving concepts
- Underwriting workflows
- Agency hierarchy
- Premium and billing structures
- Ability to interpret insurance KPIs and regulatory metrics
Preferred Qualifications
- Experience with Guidewire DataHub / InfoCenter
- Experience with ETL tools such as ADF, SSIS, Informatica, or similar
- Experience supporting AMS or modernization programs
- Familiarity with Data Governance and MDM concepts
- Experience supporting Digital / Transformation initiatives
Soft Skills
- Strong stakeholder communication and collaboration skills
- Ability to work effectively with both business and technical teams
- Executive ready storytelling through dashboards and insights
- Detail oriented with a strong analytical mindset
- Demonstrated ownership of outcomes, not just report development
Business Intelligence (BI) Developer
Skills (BI Developer – Insurance):
- Power BI (DAX, Power Query, Semantic Data Modeling)
- IBM Cognos Analytics
- SQL (Complex Queries, Performance Tuning)
- Star Schema & Dimensional Data Modeling
- Azure Data Platform (Azure Data Lake, Azure SQL)
- Guidewire DataHub / InfoCenter
- Insurance Analytics (P&C Claims, Underwriting, Billing Data)
Skilled Business Intelligence (BI) Developer to design, develop, and deliver enterprise-grade reporting, dashboards, and analytical solutions. This role leverages Power BI and IBM Cognos Analytics to provide actionable insights across Claims, Underwriting, Agency, Finance, and Operations. The ideal candidate brings a strong combination of insurance domain expertise, technical BI proficiency, and the ability to translate complex business requirements into scalable, governed data and visualization solutions.
Key Responsibilities
Data & Guidewire Integration:
- Design and develop reporting solutions leveraging data from Policy, Claims, Billing, Agency Management systems, and third-party data sources
- Build reusable semantic and data models to support enterprise analytics
- Collaborate closely with business stakeholders and Data Engineering teams on ETL/ELT processes and curated data layer integration
BI & Visualization Development:
- Develop interactive dashboards and reports using:
- Power BI
- IBM Cognos Analytics
- Build executive level dashboards (Senior Leadership Team ready views)
- Develop operational dashboards across the enterprise
- Implement row level security (RLS) and role based access
- Translate business KPIs into structured, reusable data models
- Partner with Claims, Underwriting, and Finance stakeholders to refine and standardize metrics
- Design and deliver cloud-based BI solutions on Azure, leveraging Azure Data Lake, Azure SQL, and Power BI to enable scalable, secure analytics
- Build and optimize semantic models and dashboards using Power BI, integrating data from Azure platforms with strong performance, governance, and cost efficiency
Data Modeling & Architecture:
- Design and implement star schemas for reporting and analytics
- Develop advanced DAX calculations and measures in Power BI
- Optimize report performance through query tuning and aggregation strategies
- Ensure data lineage, governance, and metric consistency
- Support Medallion architecture (Raw → Silver → Gold)
- Leverage Copilot and other LLM tools to enable self-service analytics and reporting
Governance & Quality:
- Perform data validation and reconciliation against source systems
- Implement and support data quality checks
- Support audit and regulatory reporting requirements
- Document data definitions, transformations, and business logic
Required Qualifications
Technical Skills:
- 5+ years of experience in BI / Data Analytics development
- 3+ years working with insurance products
- Strong hands-on experience with:
- Power BI (DAX, Power Query, data modeling)
- IBM Cognos Analytics
- Strong SQL skills (complex joins, window functions, performance tuning)
- Experience with Azure, Data Lake, and SQL Server preferred
- Experience working with large insurance datasets
Insurance Domain Knowledge:
- Strong understanding of:
- P&C insurance operations
- Claims lifecycle and reserving concepts
- Underwriting workflows
- Agency hierarchy
- Premium and billing structures
- Ability to interpret insurance KPIs and regulatory metrics
Preferred Qualifications
- Experience with Guidewire DataHub / InfoCenter
- Experience with ETL tools such as ADF, SSIS, Informatica, or similar
- Experience supporting AMS or modernization programs
- Familiarity with Data Governance and MDM concepts
- Experience supporting Digital / Transformation initiatives
Soft Skills
- Strong stakeholder communication and collaboration skills
- Ability to work effectively with both business and technical teams
- Executive ready storytelling through dashboards and insights
- Detail oriented with a strong analytical mindset
- Demonstrated ownership of outcomes, not just report development
Business Data Analyst Job Roles in South Carolina
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Search Business Data Analyst Jobs in South CarolinaBusiness Data Analyst Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for business data analysts in South Carolina?
Financial services firms, healthcare systems, and manufacturers are the most active sponsors in South Carolina. Synchrony Financial has operations in the Charlotte metro area spilling into Rock Hill. Prisma Health and MUSC sponsor analytical roles in Columbia and Charleston. BMW Manufacturing in Spartanburg and Michelin North America in Greenville have also filed LCAs for data-related positions. Large consulting firms with South Carolina project footprints, including Deloitte and Accenture, periodically sponsor analysts placed with local clients.
Which visa types are most common for business data analyst roles in South Carolina?
The H-1B is the most common visa category for business data analysts in South Carolina because the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a specific analytical or quantitative field. Candidates from India and China often rely on the H-1B despite the annual lottery. Nationals from Australia may pursue the E-3, and Canadian and Mexican professionals may qualify under the TN visa category for positions classified under management analysis or related designations.
Which cities in South Carolina have the most business data analyst sponsorship jobs?
Columbia leads the state for business data analyst sponsorship activity, driven by state government contractors, MUSC, and financial institutions headquartered there. Greenville and Spartanburg attract sponsors tied to advanced manufacturing and their growing professional services sectors. The Rock Hill and Fort Mill corridor benefits from proximity to Charlotte and hosts operations for several financial firms. Charleston is an emerging market, with technology companies and the Port of South Carolina generating demand for analytical talent.
How to find business data analyst visa sponsorship jobs in South Carolina?
Migrate Mate is built specifically for international candidates seeking visa sponsorship in roles like business data analyst. You can filter directly by South Carolina to see which employers are actively hiring and have a history of sponsoring work visas. This saves significant time compared to manually screening general job postings. Because sponsorship willingness is a key filter, Migrate Mate surfaces opportunities that standard searches often bury or omit entirely for internationally qualified candidates.
Are there state-specific or role-specific considerations for business data analysts pursuing sponsorship in South Carolina?
South Carolina does not impose state-level licensing requirements on business data analysts, so the primary compliance burden falls on the employer through federal processes like the Labor Condition Application. The state's growing university pipeline, particularly from Clemson University and the University of South Carolina, means employers are familiar with OPT and STEM OPT candidates before full H-1B sponsorship. Employers in South Carolina's manufacturing and healthcare sectors tend to have established HR processes for managing sponsorship, which can streamline the experience for qualified candidates.
What is the prevailing wage for sponsored business 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.
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