Product Analyst Visa Sponsorship Jobs in South Carolina
Product analyst visa sponsorship jobs in South Carolina are concentrated in Charlotte-adjacent markets like Rock Hill, along with Columbia and Greenville, where financial services firms, healthcare systems like Prisma Health, and manufacturing-adjacent tech companies hire analysts to drive product decisions. Sponsors here often include mid-sized regional employers and multinationals with South Carolina operations.
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Get Access To All JobsWhere Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
As AVP, Data Product Analyst, you will have the opportunity to shape LPL’s strategic data foundation for the future. In this role, you will connect Business product owners with Technology delivery teams using data to power applications and experiences for our Advisors and Investors. You will be accountable for multiple domains of data that power products including Advisor and Investor platforms, performance reporting, supervision, account lifecycle management, billing, compensation, trading, money movement, proposal generation, CRM, BI reporting and institutional data distribution, etc.
Responsibilities:
- Author both operational and analytical data quality rules for respective data and business domains. Document the rules and partner with technology teams and engineers to have the rules built into data pipelines, APIs, a commercial tool quality framework, etc.
- Develop data profiling, quality, and alerting capabilities leveraging database and ETL capabilities (DBT, Airflow, SQL, etc.) or commercial data management tools (Collibra, Alation, atlan, AWS Datazone, data.world, etc.)
- Develop and document standardized processes and workflows for remediating data issues by working with Relationship Management, Servicing, and Operations teams. Assist with data issue research, impact analysis, and fixes by partnering with support and technology teams.
- Translate business product, application and capability requirements for Advisors and Investors into data needs and solutions. These include business logic and transformations specs for data pipelines, inputs and business context for data modeling and logic embedded in consuming APIs.
- Utilize homegrown solutions, commercial data governance tools, or Excel, to build and document data lineage views of data transformations across the data ecosystems from source to target. Maintain data lineage artifacts and leverage them for data research and remediation efforts. Work with enterprise data architects to document data flows in conceptual and reference architecture diagrams for accountable data and business domains.
- Use either commercial governance tools or manually capture, document, and maintain data dictionaries at the attribute level for accountable domains. Partner with the enterprise data modelling team to ensure consistency of data definitions, classifications, taxonomies, hierarchies, etc. across data assets and consuming applications.
- Work with data product peers to identify inconsistencies in data to standardize on data definitions, code sets, naming conventions, classifications, consumption contracts, and taxonomies.
- Define and configure workflows, metadata structures, data quality rules, and classification schemes based on defined requirements.
- Author and enter Feature and Story-level work in Jira for technology teams to execute against.
- Work with data domain teams and the enterprise modeling team to understand both the domain-level data models and the enterprise data model to determine if fit for purpose for new project intake or if changes are required for the data domain. Provide scope and level of complexity if development work needed. Document drift and gaps between the enterprise logical data model and domain-level physical data models.
- Leverage software, applications, and tooling to construct, monitor, govern and maintain new data products for the company. Data products will be developed on both the producing and consuming sides of the organization.
- Manage the data sharing and data delivery agreements as defined by the Data Design Authority, business stakeholders, data modeling and engineering teams.
- Ensure alignment of data schemas, models, contracts, and templates from ingestion to the enterprise data model to systems of record domains to consumption layers. Align and govern physical models to logical data models.
- Partner with the Risk organization for data archiving, retention, privacy, and data destruction policies and requirements for critical data elements.
- Business metadata management across accountable data domains and data products.
- Perform technical traceability mapping and data lineage tracking.
- Partner with data domain (SOR) teams and business stakeholders to author and implement data quality rules and standards.
- Operational oversight of data quality rules execution in partnership with Engineering and Operations.
- Partner with a variety of internal support and Operations teams to build data quality scorecards, data exception reports, and ultimately assist teams with data enrichment and remediation when required.
- Update central metadata repository with business metadata content including business terms, definitions, classifications, and data quality rules.
What are we looking for?
We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and can execute in a way that encourages creativity and continuous improvement.
Requirements
- Minimum of 7 years’ experience in data warehouse design, data management, data governance, business intelligence and analytics, or similar; and a minimum of 7 years and expert level use of reading and coding in SQL.
- Minimum of 5 years’ experience with business intelligence tools and report development in tools like Tableau, Microsoft PowerBI, Domo, Qlik, Sisense, etc.
- Experience in individual contributor-level data management roles like data analyst, data modeler, data pipeline engineer, BI analyst, or developer.
- Knowledge base of data governance including data quality rules coding and implementation, data catalogs, quality scorecard development, data lineage, mastering data, and reference data management.
- Experience using (data steward) or implementing (technology) data governance tools like Collibra, AWS Datazone, Alation, atlan, data.world, etc.
Core Competencies:
- Experience coding or reading and understanding data transformations in pipelines.
- Hands-on data analysis, source-to-target mapping, data lineage tracing, remediation, etc.
- Experience designing and implementing a variety of data architecture patterns.
- Experience using and developing in a variety of RDBMS like AWS, Databricks, Snowflake, Redshift, etc.
Preferences:
- Wealth management and wealth advisory services industry experience.
- Prior people leadership experience.
- Prior experience in a data product management role.
- Agile and lean delivery methods and associated tools like Confluence, Jira, etc.
- Solid understanding of relational, star, snowflake data modeling.
Candidates must be based near an LPL primary office and work a hybrid schedule. Preferred locations are Charlotte/Fort Mill, SC or New York City (Midtown Manhattan), where most of the team is located.
Pay Range:
$103,309.00 - $172,113.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
As AVP, Data Product Analyst, you will have the opportunity to shape LPL’s strategic data foundation for the future. In this role, you will connect Business product owners with Technology delivery teams using data to power applications and experiences for our Advisors and Investors. You will be accountable for multiple domains of data that power products including Advisor and Investor platforms, performance reporting, supervision, account lifecycle management, billing, compensation, trading, money movement, proposal generation, CRM, BI reporting and institutional data distribution, etc.
Responsibilities:
- Author both operational and analytical data quality rules for respective data and business domains. Document the rules and partner with technology teams and engineers to have the rules built into data pipelines, APIs, a commercial tool quality framework, etc.
- Develop data profiling, quality, and alerting capabilities leveraging database and ETL capabilities (DBT, Airflow, SQL, etc.) or commercial data management tools (Collibra, Alation, atlan, AWS Datazone, data.world, etc.)
- Develop and document standardized processes and workflows for remediating data issues by working with Relationship Management, Servicing, and Operations teams. Assist with data issue research, impact analysis, and fixes by partnering with support and technology teams.
- Translate business product, application and capability requirements for Advisors and Investors into data needs and solutions. These include business logic and transformations specs for data pipelines, inputs and business context for data modeling and logic embedded in consuming APIs.
- Utilize homegrown solutions, commercial data governance tools, or Excel, to build and document data lineage views of data transformations across the data ecosystems from source to target. Maintain data lineage artifacts and leverage them for data research and remediation efforts. Work with enterprise data architects to document data flows in conceptual and reference architecture diagrams for accountable data and business domains.
- Use either commercial governance tools or manually capture, document, and maintain data dictionaries at the attribute level for accountable domains. Partner with the enterprise data modelling team to ensure consistency of data definitions, classifications, taxonomies, hierarchies, etc. across data assets and consuming applications.
- Work with data product peers to identify inconsistencies in data to standardize on data definitions, code sets, naming conventions, classifications, consumption contracts, and taxonomies.
- Define and configure workflows, metadata structures, data quality rules, and classification schemes based on defined requirements.
- Author and enter Feature and Story-level work in Jira for technology teams to execute against.
- Work with data domain teams and the enterprise modeling team to understand both the domain-level data models and the enterprise data model to determine if fit for purpose for new project intake or if changes are required for the data domain. Provide scope and level of complexity if development work needed. Document drift and gaps between the enterprise logical data model and domain-level physical data models.
- Leverage software, applications, and tooling to construct, monitor, govern and maintain new data products for the company. Data products will be developed on both the producing and consuming sides of the organization.
- Manage the data sharing and data delivery agreements as defined by the Data Design Authority, business stakeholders, data modeling and engineering teams.
- Ensure alignment of data schemas, models, contracts, and templates from ingestion to the enterprise data model to systems of record domains to consumption layers. Align and govern physical models to logical data models.
- Partner with the Risk organization for data archiving, retention, privacy, and data destruction policies and requirements for critical data elements.
- Business metadata management across accountable data domains and data products.
- Perform technical traceability mapping and data lineage tracking.
- Partner with data domain (SOR) teams and business stakeholders to author and implement data quality rules and standards.
- Operational oversight of data quality rules execution in partnership with Engineering and Operations.
- Partner with a variety of internal support and Operations teams to build data quality scorecards, data exception reports, and ultimately assist teams with data enrichment and remediation when required.
- Update central metadata repository with business metadata content including business terms, definitions, classifications, and data quality rules.
What are we looking for?
We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and can execute in a way that encourages creativity and continuous improvement.
Requirements
- Minimum of 7 years’ experience in data warehouse design, data management, data governance, business intelligence and analytics, or similar; and a minimum of 7 years and expert level use of reading and coding in SQL.
- Minimum of 5 years’ experience with business intelligence tools and report development in tools like Tableau, Microsoft PowerBI, Domo, Qlik, Sisense, etc.
- Experience in individual contributor-level data management roles like data analyst, data modeler, data pipeline engineer, BI analyst, or developer.
- Knowledge base of data governance including data quality rules coding and implementation, data catalogs, quality scorecard development, data lineage, mastering data, and reference data management.
- Experience using (data steward) or implementing (technology) data governance tools like Collibra, AWS Datazone, Alation, atlan, data.world, etc.
Core Competencies:
- Experience coding or reading and understanding data transformations in pipelines.
- Hands-on data analysis, source-to-target mapping, data lineage tracing, remediation, etc.
- Experience designing and implementing a variety of data architecture patterns.
- Experience using and developing in a variety of RDBMS like AWS, Databricks, Snowflake, Redshift, etc.
Preferences:
- Wealth management and wealth advisory services industry experience.
- Prior people leadership experience.
- Prior experience in a data product management role.
- Agile and lean delivery methods and associated tools like Confluence, Jira, etc.
- Solid understanding of relational, star, snowflake data modeling.
Candidates must be based near an LPL primary office and work a hybrid schedule. Preferred locations are Charlotte/Fort Mill, SC or New York City (Midtown Manhattan), where most of the team is located.
Pay Range:
$103,309.00 - $172,113.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
Product Analyst Job Roles in South Carolina
See all Product Analyst Jobs in South Carolina
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Search Product Analyst Jobs in South CarolinaProduct Analyst Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for product analysts in South Carolina?
Financial services firms with South Carolina operations, including regional banks and insurance companies headquartered in Columbia and Greenville, are among the more active sponsors for product analyst roles. Healthcare systems like Prisma Health and MUSC, along with technology-oriented manufacturers in the Upstate region, also appear in H-1B visa disclosure data as sponsors for analytical and product-focused positions.
Which visa types are most common for product analyst roles in South Carolina?
The H-1B is the most common visa for product analyst roles in South Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree in a relevant field such as computer science, statistics, business analytics, or information systems. Candidates with an existing OPT or STEM OPT period sometimes secure offers during that window before their employer files an H-1B petition.
Which cities in South Carolina have the most product analyst sponsorship jobs?
Columbia, as the state capital and home to several large employers in government contracting, healthcare, and financial services, generates the most product analyst sponsorship activity. Greenville and Spartanburg in the Upstate have grown significantly due to manufacturing tech and logistics firms. Rock Hill, near the North Carolina border, also attracts candidates open to the broader Charlotte metro employer base.
How to find product analyst visa sponsorship jobs in South Carolina?
Migrate Mate is built specifically for international job seekers and filters product analyst roles by visa sponsorship willingness, so you're not sorting through listings from employers who won't sponsor. You can filter by South Carolina to surface relevant openings in Columbia, Greenville, and other metros. This saves significant time compared to manually researching which local employers have a history of filing H-1B petitions.
Are there state-specific considerations for product analysts seeking sponsorship in South Carolina?
South Carolina's product analyst market skews toward industries with longer hiring cycles, including financial services, healthcare, and advanced manufacturing, so sponsorship timelines may be less predictable than in major tech hubs. University pipelines from Clemson University and the University of South Carolina supply local analytical talent, meaning international candidates benefit from highlighting specialized domain knowledge or technical skills that distinguish them from the domestic applicant pool.
What is the prevailing wage for sponsored product 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.