BI Developer

Incorporate predictive models, statistical analysis, and advanced KPIs into dashboards.

Collaborate with Data Science teams to embed machine learning outputs into Power BI solutions.

Develop dashboards and reports tailored to insurance portfolios, claims, underwriting, and risk management.

Apply understanding of insurance KPIs such as loss ratios, claim frequency/severity, premium trends, and exposure analysis.

Support actuarial, risk, Operations, and business teams with data‑driven insights for decision making.

Work with Product Owners and Business stakeholders to translate requirements into effective dashboards.

Coordinate with IT, IT Security and DevOps teams for infrastructure provisioning, deployment, and troubleshooting.

Provide training and support to business users on dashboard usage and self‑service analytics.

Promote a culture of accountability, innovation, and continuous improvement in reporting practices.

2–5 years of experience in Power BI development.

Strong foundation in advanced data modeling (Star Schema, Snowflake, Composite Models).

Expertise in DAX optimization and performance tuning.

Proficiency in Power Query / data transformation.

Hands‑on experience with source connections including PostgreSQL, MS Fabric, SharePoint, MS Planner, and Azure DevOps.

Strong SQL skills with understanding of data warehouse architecture.

Experience with Azure / SQL Server‑based analytics platforms.

Experience implementing DevOps practices and CI/CD pipelines for Power BI.

Ability to configure and enforce data security strategies, including RLS and workspace governance.

Domain knowledge in General Insurance, including claims, underwriting, and risk analytics.

Strong analytical and problem‑solving skills.

Attention to detail with ability to handle complex data.

Ability to explain insights and technical concepts clearly to business users.

Strong written and verbal communication for documentation and collaboration.

Team player with a proactive approach to tasks and projects.

Experience with Microsoft Fabric.

Exposure to data lakes, Lakehouse architecture, and modern analytics platforms.