Telecom OPT Jobs in South Carolina
Telecom F-1 OPT sponsorship jobs in South Carolina are concentrated around Charleston, Columbia, and Greenville, where carriers and infrastructure firms maintain regional operations. Companies like AT&T, Verizon, and T-Mobile have a presence across the state, and South Carolina's growing tech corridor supports demand for network engineers, RF analysts, and telecom systems roles that commonly align with OPT-eligible positions.
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Get Access To All JobsJob Summary
The Business Systems Analyst – Data Engineering & Operations is responsible for designing and delivering data-driven solutions that improve operational efficiency, reporting accuracy, and business performance across the Energy business.
This role is heavily focused on building and structuring data, developing business intelligence solutions, and enabling a scalable foundation for decision making. Operating at the intersection of Business Operations and IT, this position requires strong technical capability alongside the ability to translate business needs—including operational and financial performance drivers—into structured, system-driven solutions. The role owns initiatives end-to-end—from identifying data and process gaps through development and implementation of solutions—and is expected to be hands-on in developing data and reporting solutions, not solely defining requirements. Over time, this role will develop a strong understanding of how the business operates, enabling more effective solution design and contribution to business decision-making.
Key Responsibilities
- Design and develop well-structured, scalable data models designed for reusability and performance to support business intelligence and reporting needs
- Build and maintain Power BI dashboards and reporting solutions using advanced DAX and SQL
- Identify and resolve data fragmentation, driving toward a consistent and reliable source of truth
- Develop and support data pipelines or structured data transformations to improve accessibility and consistency of data
- Partner with stakeholders across Business Operations, Product Management, Engineering, Finance, and IT to define technical requirements and deliver solutions
- Act as a technical liaison between business teams and IT, ensuring alignment on system design, data architecture, and integration
- Identify and implement opportunities to automate workflows and reduce manual processes using Python, Power Automate, or system-based solutions
- Leverage AI-enabled tools and workflows to accelerate data analysis, solution development, and process improvement
- Translate data outputs into clear insights and recommendations that support business decision making
- Develop an understanding of how the business operates across pricing, operations, and financial performance
- Engage with cross-functional teams to understand underlying business logic, assumptions, and decision drivers
Technical Expectations
This role requires hands-on development experience in SQL and Power BI (DAX). Candidates without direct experience building data models and dashboards will not be considered.
- Strong proficiency in SQL (complex queries, joins, data transformation, and dataset structuring)
- Advanced experience with Power BI, including data modeling and writing complex DAX measures
- Solid understanding of relational data models, data structures, and system integrations
- Experience building or supporting data pipelines, ETL processes, or structured data workflows
- Working knowledge of Python, Power Automate, or similar tools for automation and data processing
- Familiarity with applying AI tools to enhance productivity and solution development
Key Success Traits
- Strong technical problem solver who can translate business needs and operational context into data and system solutions
- High ownership mindset; able to independently drive solutions from concept through implementation
- Ability to operate effectively across business and technical domains
- Curiosity and learning mindset with interest in understanding how the business operates, including operational and financial drivers
- Ability to connect data, process, and business impact
- Curiosity and adaptability to apply AI and emerging technologies
- Detail-oriented with focus on data integrity, consistency, and scalability
Qualifications
- Bachelor’s degree in Data Analytics, Information Systems, Engineering, Computer Science, or related field
- 3–6+ years of experience in data analytics, business systems, or data engineering-adjacent roles
- Demonstrated experience building data models, BI solutions, or automated workflows
- Experience working with ERP/CRM systems and understanding data flows
- Background in manufacturing, industrial, or operations-driven environments preferred
Measures of Success
- Establishment of reliable, scalable data sources and models
- Reduction of data inconsistencies and fragmentation
- Increased adoption and effectiveness of BI tools
- Reduction in manual processes through automation
- Improved visibility into operational and financial performance
Job Summary
The Business Systems Analyst – Data Engineering & Operations is responsible for designing and delivering data-driven solutions that improve operational efficiency, reporting accuracy, and business performance across the Energy business.
This role is heavily focused on building and structuring data, developing business intelligence solutions, and enabling a scalable foundation for decision making. Operating at the intersection of Business Operations and IT, this position requires strong technical capability alongside the ability to translate business needs—including operational and financial performance drivers—into structured, system-driven solutions. The role owns initiatives end-to-end—from identifying data and process gaps through development and implementation of solutions—and is expected to be hands-on in developing data and reporting solutions, not solely defining requirements. Over time, this role will develop a strong understanding of how the business operates, enabling more effective solution design and contribution to business decision-making.
Key Responsibilities
- Design and develop well-structured, scalable data models designed for reusability and performance to support business intelligence and reporting needs
- Build and maintain Power BI dashboards and reporting solutions using advanced DAX and SQL
- Identify and resolve data fragmentation, driving toward a consistent and reliable source of truth
- Develop and support data pipelines or structured data transformations to improve accessibility and consistency of data
- Partner with stakeholders across Business Operations, Product Management, Engineering, Finance, and IT to define technical requirements and deliver solutions
- Act as a technical liaison between business teams and IT, ensuring alignment on system design, data architecture, and integration
- Identify and implement opportunities to automate workflows and reduce manual processes using Python, Power Automate, or system-based solutions
- Leverage AI-enabled tools and workflows to accelerate data analysis, solution development, and process improvement
- Translate data outputs into clear insights and recommendations that support business decision making
- Develop an understanding of how the business operates across pricing, operations, and financial performance
- Engage with cross-functional teams to understand underlying business logic, assumptions, and decision drivers
Technical Expectations
This role requires hands-on development experience in SQL and Power BI (DAX). Candidates without direct experience building data models and dashboards will not be considered.
- Strong proficiency in SQL (complex queries, joins, data transformation, and dataset structuring)
- Advanced experience with Power BI, including data modeling and writing complex DAX measures
- Solid understanding of relational data models, data structures, and system integrations
- Experience building or supporting data pipelines, ETL processes, or structured data workflows
- Working knowledge of Python, Power Automate, or similar tools for automation and data processing
- Familiarity with applying AI tools to enhance productivity and solution development
Key Success Traits
- Strong technical problem solver who can translate business needs and operational context into data and system solutions
- High ownership mindset; able to independently drive solutions from concept through implementation
- Ability to operate effectively across business and technical domains
- Curiosity and learning mindset with interest in understanding how the business operates, including operational and financial drivers
- Ability to connect data, process, and business impact
- Curiosity and adaptability to apply AI and emerging technologies
- Detail-oriented with focus on data integrity, consistency, and scalability
Qualifications
- Bachelor’s degree in Data Analytics, Information Systems, Engineering, Computer Science, or related field
- 3–6+ years of experience in data analytics, business systems, or data engineering-adjacent roles
- Demonstrated experience building data models, BI solutions, or automated workflows
- Experience working with ERP/CRM systems and understanding data flows
- Background in manufacturing, industrial, or operations-driven environments preferred
Measures of Success
- Establishment of reliable, scalable data sources and models
- Reduction of data inconsistencies and fragmentation
- Increased adoption and effectiveness of BI tools
- Reduction in manual processes through automation
- Improved visibility into operational and financial performance
OPT Telecom Job Roles in South Carolina
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Search Telecom Jobs in South CarolinaTelecom OPT Sponsorship Jobs in South Carolina: Frequently Asked Questions
Which telecom companies sponsor F-1 OPT visas in South Carolina?
AT&T, Verizon, and T-Mobile have operations across South Carolina and have historically hired OPT candidates in technical roles. Regional carriers and network infrastructure contractors operating out of Charleston and Greenville also participate in OPT hiring. Sponsorship decisions are made at the employer level and vary by role, team, and hiring cycle, so confirming OPT acceptance directly with each employer during the application process is important.
Which cities in South Carolina have the most telecom F-1 OPT sponsorship jobs?
Charleston leads in telecom hiring activity, driven by its expanding tech sector and port-adjacent logistics infrastructure that relies on communications systems. Columbia, as the state capital and home to the University of South Carolina, supports a steady pipeline of early-career telecom roles. Greenville's manufacturing and corporate base also generates demand for network and telecom support positions. Smaller markets like Spartanburg occasionally post OPT-eligible telecom roles as well.
What types of telecom roles typically qualify for F-1 OPT sponsorship?
Roles that typically align with F-1 OPT eligibility in telecom include network engineer, RF engineer, telecommunications analyst, systems integration engineer, and fiber network technician positions that require a relevant bachelor's or master's degree. STEM OPT extension eligibility applies to roles in engineering, computer science, and information technology fields. Purely administrative or sales-focused telecom roles are less likely to qualify for STEM OPT, since they may not meet the degree-relatedness requirement.
How do I find telecom F-1 OPT sponsorship jobs in South Carolina?
Migrate Mate is built specifically for international students and filters jobs by visa type, including F-1 OPT, so you can browse telecom roles in South Carolina without sorting through listings that don't accept OPT candidates. Searching by the Telecommunications category and selecting South Carolina on Migrate Mate surfaces employers who have actively indicated sponsorship willingness, saving time during a period when your work authorization timeline matters most.
Are there any state-specific considerations for F-1 OPT sponsorship in South Carolina's telecom industry?
South Carolina does not impose state-level restrictions on OPT employment, so federal F-1 OPT rules govern your work authorization. The state's telecom sector is growing alongside broader economic development incentives that have attracted technology and manufacturing investment, which can increase hiring activity. Students from South Carolina universities like Clemson or the University of South Carolina may find alumni networks helpful for identifying telecom employers with prior OPT hiring experience in the state.