Note: The job is a remote job and is open to candidates in USA. Bollinger Shipyards is seeking a Principal Analytics Engineer to design and deliver enterprise analytics solutions that support operational, financial, engineering, and executive decision-making. The role provides technical leadership across reporting, KPI frameworks, semantic models, dashboards, and self-service analytics, while partnering with business leaders and technical teams to deliver governed, actionable solutions.
Responsibilities
- 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
Skills
- At least 8 years of experience in analytics, business intelligence, reporting, or analytics engineering
- 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
- Advanced Power BI, including semantic modeling, DAX, Power Query, visualization, and dashboard development
- Strong SQL and analytical data-modeling skills
- Experience establishing KPI definitions, reporting standards, and reusable analytics models
- Experience implementing self-service analytics capabilities
- Familiarity with Azure data and analytics technologies
- Experience working with large, complex enterprise datasets and multiple operational systems
- Experience supporting operational performance management, forecasting, and executive reporting
- Strong business analysis, problem-solving, communication, and stakeholder-management skills
- Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments preferred
Company Overview
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