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# BI Analytics Engineer

- **Company:** Bollinger Shipyards
- **Location:** Raceland, LA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Microsoft Azure, Information Systems, Information Engineering, Data Governance, Data Warehousing, Programming Tools, Python (Programming Language), Meta-Data Management, Power BI, Cloud Services, Standard Sql, Information Technology
- **Published:** October 22, 2026
- **Apply:** https://www.careerjet.com/jobad/us0962b64975b9836d131073c96959d46f

## About the Role

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

 * 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

## Description

The 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., * 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