[Hiring] Principal Analytics Engineer @LED FastStart

Role Description

We are seeking a dedicated Principal Analytics Engineer with at least 8 years of experience in analytics, business intelligence, reporting, or analytics engineering. The candidate will serve as a senior individual contributor responsible for designing and delivering enterprise analytics solutions that enable operational, financial, engineering, and executive decision-making across Bollinger Shipyards.

This role provides deep technical leadership across enterprise reporting, KPI frameworks, semantic models, dashboards, self-service analytics, and decision-support solutions. The Principal Analytics Engineer partners closely with business leaders, Data Engineering, Enterprise Architecture, and other analytics resources to translate complex business requirements into scalable, governed, and actionable analytics solutions.

Qualifications

• Bachelor’s degree in Information Systems, Analytics, Business, Engineering, Computer Science, or related field
• 8+ years of experience in analytics, business intelligence, reporting, or analytics engineering
• Strong hands-on experience with Power BI or similar enterprise BI platforms
• Strong experience with SQL, data analysis, data modeling, semantic models, and KPI development
• Proven experience designing and delivering enterprise dashboards, reporting solutions, and decision-support capabilities
• Experience working directly with business and executive stakeholders to translate business needs into analytics solutions
• Demonstrated ability to independently lead complex analytics initiatives from requirements through implementation and adoption

Requirements

• Design and deliver enterprise analytics and decision-support solutions across Finance, Operations, Engineering, Supply Chain, Business Development, and other business functions
• Develop and standardize enterprise KPIs, metrics, semantic models, dashboards, and reporting structures
• Lead the technical design and development of executive dashboards and operational decision-support solutions
• Build advanced Power BI dashboards, semantic models, data transformations, and self-service analytics capabilities
• Analyze complex enterprise data to identify trends, performance drivers, risks, and opportunities for operational improvement
• Translate business questions and operational requirements into scalable analytics solutions
• Ensure consistency, accuracy, usability, and performance of enterprise analytics products
• Partner with Data Engineering and Enterprise Architecture to define data requirements and ensure reliable, governed, and accessible data
• Establish and promote analytics development standards, reusable patterns, and reporting best practices
• Mentor Analytics Engineers, BI developers, and analysts and provide technical leadership across analytics initiatives
• Partner directly with business leaders and subject-matter experts to drive adoption and data-driven decision-making
• Identify opportunities to automate manual reporting and improve operational workflows through analytics
• Measure adoption and business impact of analytics solutions and continuously improve them based on user needs and results
• Evaluate emerging analytics and AI capabilities that can enhance enterprise decision-support solutions

Benefits

• 401k
• Dental Insurance
• Life Insurance
• Medical Insurance
• Vision