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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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 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.