Role Overview
- Lead enterprise BI architecture, dashboards, and visualization frameworks using Power BI and Tableau.
- Define and drive BI strategy, partnering with stakeholders to translate insurance data (policy, claims, underwriting, premiums, loss ratios) into actionable insights.
- Design and optimize data models, ETL/ELT pipelines, and semantic layers for scalable analytics.
- Work with Snowflake, Microsoft Fabric (Lakehouse/Warehouse), and modern cloud platforms.
- Develop advanced DAX, Power Query (M), SQL, and Python-based data solutions.
- Implement and enforce data governance, data quality, security, and metadata management standards.
- Enable self-service BI and automate workflows using Power Automate.
- Establish CI/CD pipelines, deployment standards, and ensure performance optimization.
- Collaborate with data engineering teams and troubleshoot BI performance and data issues.
- Mentor BI developers, conduct code reviews, and promote best practices.
Requirements
- Bachelor’s degree in Computer Science, Data Analytics, or related field.
- 10+ years of BI/analytics experience with strong expertise in:
o Power BI (DAX, Power Query, semantic models)
o Tableau
o SQL and data modeling
- Experience with Snowflake, Microsoft Fabric, and ETL/ELT processes.
- Proficiency in Python for data processing/automation.
- Strong understanding of data governance and enterprise BI architecture.
- Insurance domain experience is required.
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- Preferred Skills
- Experience with Azure/cloud platforms
- Knowledge of CI/CD and DevOps in BI
- Strong stakeholder management and leadership skills
Tech Stack
- Azure
- Cloud
- ETL
- Python
- SQL
- Tableau