Associate BI Analytics Engineer (Fully Remote)

Bollinger Shipyards, Inc.; Metairie (LA); Remote; USD 70,000 - 100,000; Full time

Job summary

Bollinger Shipyards, Inc. seeks an Associate BI Analytics Engineer to design, develop and maintain Power BI dashboards and semantic models.

You will translate business requirements into scalable analytics for executive and operational decision-making, collaborating closely with analytics leadership and data engineering teams. The role focuses on enterprise reporting, KPI management, data governance, and governance of analytics standards while supporting self-service analytics and data-driven

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.

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.

Skills

Power BI

SQL

Azure analytics

Python

KPI management

Data governance

Metadata management

Data warehousing

Education

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

Job description

POSITION OVERVIEW

We are seeking a dedicated Associate BI Analytics Engineer with 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
• 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

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