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# dedicated Associate BI Analytics Engineer

- **Company:** BOLLINGER TEXAS CITY LP
- **Location:** Raceland, LA, United States (Remote available)
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Information Engineering, Data Governance, Programming Tools, Python (Programming Language), Meta-Data Management, Power BI, Standard Sql
- **Published:** August 4, 2026
- **Apply:** https://www.bollingershipyards.com/careers/associate-bi-analytics-engineer-fully-remote/

## About the Role

* 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

## Description

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., * 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


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