Data Science Analyst Visa Sponsorship Jobs in South Carolina
Data science analyst roles in South Carolina are concentrated in financial services hubs like Charlotte's cross-border market in Fort Mill and Rock Hill, plus Columbia's state government and health system employers, and Charleston's growing tech sector. Major employers including BlueCross BlueShield of South Carolina, Santee Cooper, and SCANA have sponsored data science talent through H-1B visa and other work visas.
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JOB DESCRIPTION SUMMARY
We are seeking a Master Data Analyst to support data governance and master data quality across critical business domains in the energy sector. This role plays a key part in ensuring the accuracy, consistency, and reliability of master data that supports operational excellence, compliance, and informed decision-making. Monitor and enforce master data standards across ERPs (SAP/Oracle), MES, and PLM; implement the global PFEP framework; and leverage the MDM mapping layer that enables integration across all digital applications and manufacturing and engineering systems. Collaborate with Local Process Digital Authorities (LPDAs) to implement and enforce MDM standards at each site.
JOB DESCRIPTION
Master Data Governance & Standards
- Manage, analyze, validate, and maintain master data within assigned business domains
- Support master data governance processes, standards, and data quality controls
- Identify and resolve data issues such as duplicates, inconsistencies, missing attributes, and formatting errors
- Support Deployment of AI-assisted tools for routine data quality monitoring, anomaly detection, duplicate detection, attribute standardization, classification harmonization, and obsolete material management; establish automated audit cycles that continuously assess completeness and accuracy against global standards.
- Monitor data quality KPIs and prepare reports for governance and business stakeholders
- Support data creation, change, approval, and retirement workflows
- Collaborate with ERP, EAM, MDM, and other enterprise system teams to ensure data consistency across platforms
- Document master data definitions, business rules, workflows, and governance procedures
- Support data migration, system implementation, and integration projects
- Ensure compliance with internal governance standards, audit requirements, and applicable regulatory expectations
- Contribute to continuous improvement initiatives to strengthen enterprise data quality and process efficiency
- Partner with Process Engineers to ensure process standards and master data templates evolve together; develop and maintain global training materials and documentation for both global and local users.
GPDA Authority & LDPA Network
- Work closely with LPDAs, data stewards, and system owners to resolve data defects and improve processes
- Drive the LDPAs governance rhythm: regular cadence for standards updates, compliance reviews, issue escalation, and cross-site read-across of lessons learned, including cross-functional alignment with Engineering/Configuration Management on digital thread policy changes impacting PLM–ERP integration.
Analytics Rationalization & Incubation
- Establish global reporting standards and data definitions to ensure consistent interpretation of metrics and KPIs across all sites and functions.
- Build and validate analytics prototypes with frontline teams (including AI-powered data quality and operational analytics tools) proving concepts at small scale before handoff to IT/DT for industrialization.
- Define and own the prototype-to-scale handoff protocol: documentation standards, data requirements, and acceptance criteria that IT/DT teams need to industrialize a DPE-incubated tool.
Required Qualifications
- Bachelor’s degree in Information Systems, Business Administration, Engineering, Data Management, Computer Science, or a related field
- 2–5 years of experience in master data, data analysis, data governance, or a related role
- Experience in energy, utilities, oil and gas, power generation, renewables, manufacturing, or industrial environment preferred
- Familiarity with enterprise systems such as ERP, EAM, MDM, CRM, or supply chain platforms specifically Oracle or SAP
- Strong proficiency in Microsoft Excel and data analysis/reporting tools
- Experience with data validation, cleansing, and reconciliation
- Ability to interpret business and technical data requirements
- Strong problem-solving, organizational, and communication skills
- Ability to work across multiple stakeholders and prioritize competing demands
Desired Characteristics
- Experience supporting master data for assets, materials, equipment, locations, suppliers, or customers
- Knowledge of data governance, data stewardship, and data quality practices
- Familiarity with SQL and reporting tools such as Power BI or Tableau
- Experience with SAP, Oracle, Maximo, or similar enterprise platforms
- Understanding of energy industry operations, maintenance processes, supply chain, or asset management
- Exposure to regulatory, audit, or compliance-driven environments
- Familiarity with PFEP methodology and its application to MRP, capacity planning, and shop floor execution.
- Experience with digital integration standards across manufacturing systems (MES, PLM, APS) and the data mapping requirements to enable reliable interfaces.
- Background in lean manufacturing and standard work deployment, with an understanding of how data quality drives operational performance.
- Experience building and enabling site-level data stewardship networks (equivalent to LPDA model) across distributed manufacturing environments.
- Comfortable operating in a dual-ERP environment and translating standards across system boundaries.
- Analytics prototyping experience using tools such as Power BI, Tableau, or similar; ability to move from concept to working prototype quickly.
ADDITIONAL INFORMATION
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
For candidates applying to a U.S. based position, the pay range for this position is between $81,700.00 and $136,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on May 29, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
Data Science Analyst Job Roles in South Carolina
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Search Data Science Analyst Jobs in South CarolinaData Science Analyst Jobs in South Carolina: Frequently Asked Questions
Which companies in South Carolina sponsor visas for data science analysts?
Financial services and insurance companies lead H-1B sponsorship for data science analysts in South Carolina. BlueCross BlueShield of South Carolina, Synnex (now TD SYNNEX), and Dominion Energy are among employers with documented sponsorship histories. State government agencies and large health systems like MUSC Health also hire data science talent, though their sponsorship patterns differ from private sector employers.
Which visa types are most common for data science analyst roles in South Carolina?
The H-1B is the most common visa for data science analysts in South Carolina, 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. Some candidates with advanced degrees pursue the EB-2 employment-based immigrant visa pathway. International graduates at South Carolina universities may begin on F-1 OPT or STEM OPT before transitioning to employer-sponsored status.
How to find data science analyst visa sponsorship jobs in South Carolina?
Migrate Mate filters job listings specifically for visa sponsorship, making it easier to identify data science analyst roles in South Carolina without sorting through positions that don't offer sponsorship. You can search by role and state to surface relevant openings from financial services companies in Columbia, healthcare employers in Charleston, and tech-adjacent firms in the Greenville-Spartanburg corridor. Filtering by sponsorship type helps narrow results to your visa situation.
Which cities in South Carolina have the most data science analyst sponsorship jobs?
Columbia has the highest concentration of data science analyst roles given the presence of BlueCross BlueShield of South Carolina, state government agencies, and the University of South Carolina. Charleston is growing quickly, driven by tech company expansion and MUSC Health's analytics needs. The Greenville-Spartanburg area hosts manufacturing and logistics firms with emerging data functions. Fort Mill and Rock Hill benefit from proximity to Charlotte's larger financial services market.
Are there state-specific considerations for data science analysts seeking visa sponsorship in South Carolina?
South Carolina does not have its own state-level work visa program, so federal H-1B rules and prevailing wage requirements set by the Department of Labor apply. Employers must file a Labor Condition Application certifying the offered wage meets the prevailing wage for the role and location. Data science analyst positions in Columbia and Charleston may have different prevailing wage levels, which affects what sponsoring employers are required to pay regardless of market rates.
What is the prevailing wage for sponsored data science 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.