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# BI Developer

- **Company:** VACO LLC
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Microsoft Azure, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Database Queries, IBM Cognos Business Intelligence, Microsoft SQL Server, SQL Azure, Performance Tuning, Query Optimization, Power BI, Microsoft Copilot, Azure Data Lake, SQL Server Integration Services, Large Language Models, Powerquery, Data Layers, Data Lakes, Data Lineage, Data Analytics, Guidewire
- **Published:** October 30, 2026
- **Apply:** https://www.dice.com/job-detail/2ca8b021-f2d8-4ae8-94ce-b712fe859e1e

## About the Role

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., 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)

· IBM Cognos Analytics

· 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:

o P&C insurance operations

o Claims lifecycle and reserving concepts

o Underwriting workflows

o Agency hierarchy

o Premium and billing structures

· Ability to interpret insurance KPIs and regulatory metrics

Preferred Qualifications:

· Experience with Guidewire DataHub / InfoCenter

· 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

## Description

Vaco 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 and IBM Cognos Analytics to provide actionable insights across Claims, Underwriting, Agency, Finance, and Operations., Data & Guidewire Integration

· Design and develop reporting solutions leveraging data from Policy, Claims, Billing, Agency Management systems, and third-party data sources 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:

Power BI

IBM Cognos Analytics

· 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 role based access

Translate business KPIs into structured, reusable data models

Partner with Claims, Underwriting, and Finance stakeholders to refine and standardize metrics

Design and deliver cloudbased 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.

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 * Silver * Gold)

· 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