Power BI Developer

Compunnel

• $95K — $115K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong Power BI development experience
  • Hands-on experience with semantic modeling and DAX
  • End-to-end ETL experience
  • Experience building and maintaining data pipelines
  • Hands-on experience with Snowflake
  • Hands-on experience with S3
  • Experience with dbt

Responsibilities

  • Build and maintain Power BI dashboards and reports
  • Develop semantic models and DAX calculations
  • Create operational, KPI, and internal reporting solutions
  • Own ETL processes from extraction through loading
  • Build and maintain data pipelines using dbt
  • Stage and prepare data for reporting
  • Work with Snowflake and S3-based data environments
  • Support Power Automate workflows

Benefits

  • Opportunity to work with cutting-edge data technologies
  • Engagement in a dynamic reporting and automation environment
  • Potential for professional growth in BI and data engineering
  • Collaborative team culture focused on innovation
  • Exposure to the insurance industry, enhancing domain knowledge
Full Job Description
Job Summary
We are seeking a Power BI Developer to support reporting, data pipelines, and automation. The ideal candidate will have strong Power BI expertise along with hands-on ETL and cloud data experience. Insurance industry experience is preferred but not required. Hands-on experience with dbt, S3, and Snowflake is required.

Key Responsibilities
• Build and maintain Power BI dashboards and reports.
• Develop semantic models and DAX calculations.
• Create operational, KPI, and internal reporting solutions.
• Own ETL processes from extraction through loading.
• Build and maintain data pipelines using dbt.
• Stage and prepare data for reporting.
• Work with Snowflake and S3-based data environments.
• Support Power Automate workflows.
• Maintain reporting solutions and associated data processes.

Required Qualifications
• Strong Power BI development experience.
• Hands-on experience with semantic modeling and DAX.
• End-to-end ETL experience.
• Experience building and maintaining data pipelines.
• Hands-on experience with Snowflake.
• Hands-on experience with S3.
• Experience with dbt.
• Experience working across both BI development and data engineering.
• Experience with reporting, data pipelines, and automation.

Preferred Qualifications
• Insurance industry experience.
• Experience with ETL tools comparable to dbt.

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