Senior Power BI Engineer Remote Analytics Lead

Piper Companies; USA; Remote; USD 120.000 - 140.000; Vollzeit

Zusammenfassung

Piper Companies is seeking a BI Engineer III to join a growing organization in the travel industry. The role is fully remote within the United States and the primary business-facing member of the data team, partnering with stakeholders to design, develop, and optimize reporting and analytics solutions using Power BI.

Responsibilities include designing dashboards and reports, gathering requirements from non-technical stakeholders, building semantic models, writing optimized SQL, and ensuring data

Qualifikationen

• 5+ years in BI, analytics, or reporting.
• Expert Power BI development, administration, and performance optimization.
• Strong SQL and semantic modeling experience.
• Experience gathering requirements from non-technical stakeholders.

Aufgaben

• Design, develop, and maintain Power BI dashboards and reports.
• Partner with stakeholders to gather requirements and deliver reporting solutions.
• Develop semantic models to support self-service analytics.
• Write and optimize SQL queries for reporting and ad hoc requests.
• Monitor report performance and ensure data accuracy.
• Support BI administration and governance initiatives.
• Conduct user training and assist with reporting inquiries.
• Collaborate with Data Engineering and QA teams to improve reporting capabilities.

Kenntnisse

Power BI

SQL

DAX

Semantic modeling

Stakeholder communication

Python/R

Ausbildung

Bachelor's degree in Business Analytics, Information Systems, or a related field

Tools

Power BI Desktop

SQL Server

Git/GitHub

Jobbeschreibung

Piper Companies is seeking a BI Engineer III to join a growing organization in the travel industry. The role is fully remote within the United States and the primary business-facing member of the data team, partnering with stakeholders to design, develop, and optimize reporting and analytics solutions using Power BI.

Responsibilities include designing dashboards and reports, gathering requirements from non-technical stakeholders, building semantic models, writing optimized SQL, and ensuring data