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5 results for It Business Intelligence Analyst in Greenville, SC

Business Intelligence (BI) Engineer
  • Greenville, SC
  • onsite
  • Permanent / Full Time
  • 0 - 0 USD / Yearly
  • <p>Robert Half is hiring! We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Greenville, South Carolina. In this role, you will design and deliver high-performing, scalable, and secure BI solutions, enabling actionable insights across various business domains such as Policy, Claims, and Billing. You will collaborate with stakeholders and data engineering teams to build reusable models and optimize reporting solutions using industry-leading tools.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop reporting solutions using data from multiple systems, including Policy, Claims, Billing, and third-party sources.</p><p>• Create reusable semantic and data models to support enterprise-wide analytics.</p><p>• Develop interactive dashboards and operational reports using tools such as Power BI and Cognos Analytics.</p><p>• Implement security measures, including role-based and row-level access controls, for BI solutions.</p><p>• Collaborate with stakeholders in Claims, Underwriting, and Finance to refine and standardize metrics.</p><p>• Build and optimize semantic models and executive-level dashboards leveraging Azure Data Lake and Power BI.</p><p>• Design star schemas for reporting and analytics, ensuring data lineage and governance.</p><p>• Perform data validation and reconciliation to maintain accuracy and consistency of BI outputs.</p><p>• Document data definitions, transformations, and business logic to support audit and regulatory reporting requirements.</p><p>• Optimize report performance through advanced query tuning and aggregation strategies.</p>
  • 2026-06-05T00:00:00Z
Business Systems Analyst
  • Greenville, SC
  • onsite
  • Temporary / Contract
  • 38 - 44 USD / Hourly
  • We are looking for a Business Systems Analyst to support insurance-focused initiatives in Greenville, South Carolina. This Long-term Contract opportunity is ideal for someone who is detail oriented and can translate operational needs into practical system and process solutions while partnering closely with business and technical teams. The role requires strong Guidewire knowledge, a solid background in business analysis, and the ability to work effectively in an onsite environment.<br><br>Responsibilities:<br>• Partner with stakeholders to gather, clarify, and document business needs for insurance-related processes and technology solutions.<br>• Analyze workflows and identify opportunities to improve system functionality, service delivery, and operational efficiency.<br>• Create clear business requirements, process documentation, user stories, and functional specifications for project teams.<br>• Work within Agile Scrum teams to support backlog refinement, sprint planning, testing coordination, and solution delivery.<br>• Collaborate with technical teams and business users to ensure Guidewire-related enhancements align with business objectives.<br>• Review business and system documentation to confirm accuracy, completeness, and alignment with project expectations.<br>• Support user acceptance activities by validating requirements, coordinating feedback, and helping resolve issues.<br>• Engage with customer service and call center stakeholders to understand user needs and incorporate them into solution planning.
  • 2026-06-01T00:00:00Z
Business Systems Analyst – Process Optimization
  • Greenville, SC
  • remote
  • Temporary / Contract
  • 30.875 - 35.75 USD / Hourly
  • We are looking for a Business Systems Analyst – Process Optimization to support workflow improvement and operational excellence within a healthcare environment in Greenville, South Carolina. This Long-term Contract position will focus on examining current business processes, identifying opportunities for greater efficiency, and helping teams implement practical, scalable solutions. The role works closely with stakeholders, analysts, and technical partners to turn operational needs into data-informed recommendations that improve performance and support automation efforts.<br><br>Responsibilities:<br>• Evaluate existing operational workflows and create clear documentation for both current processes and proposed improvements.<br>• Examine business activities and data trends to uncover bottlenecks, inefficiencies, and opportunities for process enhancement.<br>• Develop actionable recommendations that improve performance, reduce manual effort, and support sustainable operations.<br>• Work with technical and business teams to define requirements for automation and process improvement initiatives.<br>• Support solution validation through test planning, user acceptance activities, and implementation readiness efforts.<br>• Partner with stakeholders across functions to assess priorities and align improvement projects with organizational objectives.<br>• Prepare and deliver concise summaries, insights, and recommendations for managers and leadership teams.<br>• Use tools such as Power BI and process-mapping applications to analyze information and communicate workflow design effectively.
  • 2026-06-01T00:00:00Z
Data Engineer
  • Greer, SC
  • onsite
  • Temporary to Hire
  • 64.6 - 74.8 USD / Hourly
  • We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract-to-permanent basis. This role focuses on building and enhancing modern data pipelines within a cloud-centered environment, with Snowflake serving as the primary data platform. The ideal candidate will help deliver production-ready solutions, strengthen data reliability, and apply disciplined engineering practices to support scalable, near real-time data processing.<br><br>Responsibilities:<br>• Design, build, and deliver end-to-end data pipelines in Snowflake that support business reporting and data consumption needs.<br>• Create new ingestion and transformation workflows while troubleshooting pipeline issues to improve stability and performance.<br>• Contribute to a delivery model that balances new development with targeted optimization of existing data assets and workflows.<br>• Implement streaming and event-driven ingestion patterns using Kafka to support timely and scalable data movement.<br>• Improve observability across the data ecosystem by strengthening monitoring, alerting, and data quality controls.<br>• Help simplify legacy data processes by reducing technical debt and modernizing outdated pipeline components.<br>• Apply sound software engineering standards, including maintainable code, documentation, and repeatable development practices.<br>• Support the advancement of testing and CI/CD processes by helping establish more consistent engineering workflows.<br>• Leverage AI-assisted development tools to accelerate coding, validation, and technical documentation where appropriate.
  • 2026-06-04T00:00:00Z
Data Engineer
  • Greer, SC
  • onsite
  • Temporary to Hire
  • 64.6 - 74.8 USD / Hourly
  • We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract basis with the potential for a permanent role. This role focuses on designing and delivering modern data pipelines in a cloud-based environment, with an emphasis on reliability, quality, and scalable data processing. The position offers the opportunity to contribute to both new development and targeted improvements across an evolving data ecosystem centered on Snowflake and event-driven ingestion.<br><br>Responsibilities:<br>• Design, build, and deliver end-to-end data pipelines in Snowflake to support business and analytics needs.<br>• Create new data integration workflows while troubleshooting and resolving issues in existing pipelines.<br>• Apply sound engineering practices for coding, documentation, testing, and deployment to improve consistency and maintainability.<br>• Balance hands-on development of new solutions with optimization work that improves performance, stability, and efficiency.<br>• Develop streaming and ingestion processes using Kafka to enable timely and dependable data movement.<br>• Strengthen observability and data quality controls so pipeline health and accuracy are easier to monitor and maintain.<br>• Help reduce technical debt by simplifying legacy data processes and modernizing pipeline design where appropriate.<br>• Contribute to AI-assisted engineering efforts by using approved tools to accelerate development, testing, and documentation activities.
  • 2026-05-22T00:00:00Z