Business Intelligence (BI) DeveloperCanal Insurance Company is seeking a highly skilled Business Intelligence (BI) Developer to design, develop, and deliver enterprise-grade reporting, dashboards, and analytical solutions. This role leverages Power BI to provide actionable insights across Claims, Underwriting, Agency, Finance, and Operations.
The ideal candidate brings strong expertise in Power BI, SQL development, and Azure-based analytics platforms, along with the ability to translate complex business requirements into scalable, governed data and visualization solutions. Insurance industry experience is preferred but not required for candidates with strong technical BI capabilities.
This position follows an
onsite work model and requires regular in-office collaboration with business and technology teams.
Key Responsibilities:
Data & Guidewire Integration- Design and develop reporting solutions leveraging data from Policy, Claims, Billing, Agency Management systems, and third-party 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
BI & Visualization Development - Develop interactive dashboards and reports using:
- Build executive level dashboards (Senior Leadership Team ready views, SLT-ready views)
- Develop operational dashboards across the enterprise
- Implement row-level security (RLS) and role-based access controls.
- 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.
- Develop complex Power BI dashboards and reports leveraging advanced DAX, Power Query, and enterprise data modeling techniques.
Data Modeling & Architecture - 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
- Support Medallion architecture (Raw 12 Silver 12 Gold)
- Leverage Copilot and other LLM tools to enable self-service analytics and reporting
- Develop and optimize complex SQL queries, stored procedures, views, and datasets to support reporting and analytics.
- Perform query tuning and optimization to improve reporting performance and scalability.
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
- Strong hands-on Power BI Experience, including dashboard development, data modeling, DAX, and Power Query
- Strong SQL skills (complex joins, window functions, performance tuning)
- Experience with Azure data and analytics platforms, including Azure Data Lake, Azure SQL, and SQL Server.
Preferred Qualifications:
- Experience with Guidewire DataHub / InfoCenter
- Experience within the Property & Casualty (P&C) insurance industry.
- Experience working with large insurance datasets
- 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 insights ready storytelling through dashboards and insights
- Detail-oriented with a strong analytical mindset
- Demonstrated ownership of outcomes, not just report development
