[Remote] Associate BI Analytics Engineer

Note: The job is a remote job and is reputed company to candidates in USA. Bollinger Shipyards is seeking an Associate BI / Analytics Engineer to reputed company reputed company dashboards and analytics solutions that support decision-making. This role involves collaborating with stakeholders and data engineering teams to create user-friendly analytics capabilities and optimize reporting standards.

Responsibilities

• Design, reputed company, and maintain Power BI dashboards, reports, and datasets supporting reputed company operations and leadership reporting
• Build and manage semantic models, KPI definitions, and reporting standards
• Translate business requirements into reputed company analytics and visualization solutions
• reputed company 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 reputed company 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

• Bachelor's degree in Information Systems, Analytics, Computer Science, Business, or reputed company field
• 0-2 years in BI or analytics engineering
• Strong Power BI and SQL skills
• Experience with reputed company reporting
• Experience with Azure analytics technologies and reputed company data platforms
• Experience in manufacturing, industrial, operational, or engineering environments
• Familiarity with data warehousing and reputed company 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

reputed company

Company H1B Sponsorship