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Business Intelligence Developer

Job in Greenville, Greenville County, South Carolina, 29610, USA
Listing for: Intelliswift - An LTTS Company
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Systems & Technology Analysis, Data Warehousing
Salary/Wage Range or Industry Benchmark: 75000 - 100000 USD Yearly USD 75000.00 100000.00 YEAR
Job Description & How to Apply Below
  • Power BI (DAX, Power Query, Semantic Data Modeling)
  • SQL (Complex Queries, Performance Tuning)
  • Star Schema & Dimensional Data Modeling
  • Guidewire Data Hub / Info Center
  • Insurance Analytics (P&C Claims, Underwriting, Billing Data)

Skilled Business Intelligence (BI) Developer to design, develop, and deliver enterprise-grade reporting, dashboards, and analytical solutions. This role leverages Power BI and IBM Cognos Analytics to provide actionable insights across Claims, Underwriting, Agency, Finance, and Operations.

The ideal candidate brings a strong combination of insurance domain expertise, technical BI proficiency, and the ability to translate complex business requirements into scalable, governed data and visualization solutions.

  • Design and develop reporting solutions leveraging data from Policy, Claims, Billing, Agency Management systems, and third-party data sourcesparty data sources
  • Build reusable semantic and data models to support enterprise analytics
  • Collaborate closely with business stakeholders and Data Engineering teams on ETL/ELT processes and curated data layer integration
  • Develop interactive dashboards and reports using:
  • Power BI
  • Build executive level dashboards (Senior Leadership Team ready views, SLTready views)
  • Develop operational dashboards across the enterprise
  • Implement row level security (RLS) and role based accesslevel security (RLS) and rolebased access
  • Translate business KPIs into structured, reusable data models
  • Partner with Claims, Underwriting, and Finance stakeholders to refine and standardize metrics
  • Design and deliver cloud based BI solutions on Azure, leveraging Azure Data Lake, Azure SQL, and Power BI to enable scalable, secure analytics.
  • Build and optimize semantic models and dashboards using Power BI, integrating data from Azure platforms with strong performance, governance, and cost efficiency.
  • Design and implement star schemas for reporting and analytics
  • Develop advanced DAX calculations and measures in Power BI
  • Optimize report performance through query tuning and aggregation strategies
  • Ensure data lineage, governance, and metric consistency
  • Leverage Copilot and other LLM tools to enable self service analytics and reportingservice analytics and reporting
Governance & Quality
  • Perform data validation and reconciliation against source systems
  • Implement and support data quality checks
  • Support audit and regulatory reporting requirements
  • Document data definitions, transformations, and business logic
Required Qualifications Technical

Skills:
  • 5+ years of experience in BI / Data Analytics development
  • 3+ years working with insurance products
  • Strong hands on experience with: on experience with:
  • Power BI (DAX, Power Query, data modeling)
  • Strong SQL skills (complex joins, window functions, performance tuning)
  • Experience with Azure, Data Lake, and SQL Server preferred
  • Experience working with large insurance datasets
Insurance Domain Knowledge

Strong understanding of:

  • P&C insurance operations
  • Claims lifecycle and reserving concepts
  • Premium and billing structures
  • Ability to interpret insurance KPIs and regulatory metrics
Preferred Qualifications
  • Experience with Guidewire Data Hub / Info Center
  • Experience with ETL tools such as ADF, SSIS, Informatica, or similar
  • Experience supporting AMS or modernization programs
  • Familiarity with Data Governance and MDM concepts
  • Experience supporting Digital / Transformation initiatives
Soft Skills
  • Strong stakeholder communication and collaboration skills
  • Ability to work effectively with both business and technical teams
  • Executive ready storytelling through dashboards and insightsready storytelling through dashboards and insights
  • Detail oriented with a strong analytical mindsetoriented with a strong analytical mindset
  • Demonstrated ownership of outcomes, not just report development
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