BI Analytics Engineer

Bollinger Shipyards, Inc.; Metairie (LA); On-site; USD 110,000 - 140,000; Full time

Job summary

Bollinger Shipyards, Inc. seeks an experienced BI Analytics Engineer to develop enterprise dashboards, semantic models, and reporting layers that support operational and executive decision-making across the organization.

You will collaborate with analytics leadership, data engineering, and business stakeholders to translate requirements into scalable analytics solutions, ensuring data accuracy and governance.

Qualifications

• Bachelor’s degree in Information Systems, Analytics, Computer Science, Business, or related field.
• Minimum of 5–8 years in BI or analytics engineering.
• Strong Power BI and SQL skills.
• Experience with enterprise reporting.

Responsibilities

• Design, develop, and maintain Power BI dashboards, reports, and datasets for 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 balancing usability, performance, scalability, and governance requirements.
• Collaborate with Data Engineering teams to ensure reliable 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.

Skills

Azure analytics

Cloud data platforms

Manufacturing domain knowledge

Data warehousing

Medallion architecture

Executive reporting

KPI management

Data governance

Metadata management

Python

Education

Bachelor’s degree in Information Systems, Analytics, Computer Science, Business, or related field

Tools

Power BI

SQL

Azure

Job description

For nearly a century, Bollinger Shipyards has created a legacy as a leading designer and builder of high-performance marine vessels. We are renowned for delivering top-quality construction, manufacturing, and repair services with a commitment to safety and environmental responsibility. We are seeking a dedicated BI Analytics Engineer with at least a Bachelor’s degree in Information Systems, Analytics, Computer Science, Business, or related field. The candidate will develop 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.

REQUIREMENTS

• Bachelor’s degree in Information Systems, Analytics, Computer Science, Business, or related field
• Minimum of 5–8 years in BI or analytics engineering
• Strong Power BI and SQL skills
• Experience with enterprise reporting

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

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