Job Title: Principal Analytics Engineer
Location: Remote, LA
Position Overview:
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.
Key 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
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
Skills and Abilities:
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
Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments preferred
Strong business analysis, problem-solving, communication, and stakeholder-management skills
Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 80184442
- Position Id: dea160fbd9292f1f76ca1f6b9216f897
- Posted 20 hours ago
