Associate BI Analytics Engineer

Position Overview

The Associate BI / Analytics Engineer develops enterprise dashboards, semantic models, reporting layers, and self-service analytics capabilities that support operational and executive decision-making across Bollinger Shipyards. This role works closely with business stakeholders, analytics leadership, and data engineering teams to translate business requirements into scalable and user-friendly analytics solutions.

Responsibilities

• Design, develop, and maintain Power BI dashboards, reports, and datasets supporting enterprise operations and leadership reporting
• Build and manage semantic models, KPI definitions, and reporting standards
• Translate business requirements into scalable analytics and visualization solutions
• Develop reporting solutions that balance usability, performance, scalability, and governance requirements
• Collaborate with Data Engineering teams to ensure reliable and accurate data availability
• Partner with business stakeholders to define metrics, reporting requirements, and analytical needs
• Optimize dashboard performance, data models, and report usability
• Support enterprise self-service analytics capabilities and user adoption
• Maintain documentation for reports, data definitions, and analytics standards
• Assist with troubleshooting reporting issues and validating data accuracy
• Promote consistent analytics practices and reporting governance across business areas

Qualifications

• Bachelor's degree in Information Systems, Analytics, Computer Science, Business, or related field
• 0-2 years in BI or analytics engineering
• Strong Power BI and SQL skills
• Experience with enterprise reporting preferred

Skills

• Experience with Azure analytics technologies and cloud data platforms
• Experience in manufacturing, industrial, operational, or engineering environments
• Familiarity with data warehousing and medallion architecture concepts
• Experience supporting executive reporting and KPI management
• Knowledge of data governance and metadata management practices
• Exposure to Python or other analytical programming tools