Principal Analytics Engineer

LED FastStart•Raceland, LA

1d•Remote

About The Position

Bollinger Shipyards is seeking a Principal Analytics Engineer to serve as a senior individual contributor designing and delivering enterprise analytics solutions that support operational, financial, engineering, and executive decision-making. The role provides technical leadership across enterprise reporting, KPI frameworks, semantic models, dashboards, self-service analytics, and decision-support solutions. The Principal Analytics Engineer partners with business leaders, Data Engineering, Enterprise Architecture, and other analytics resources to turn complex business requirements into scalable, governed, and actionable solutions.

Requirements

Bachelor’s degree in Information Systems, Analytics, Business, Engineering, Computer Science, or a related field.
At least 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 skills, 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.

Nice To Haves

Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments.

Responsibilities

Design and deliver enterprise analytics and decision-support solutions across Finance, Operations, Engineering, Supply Chain, Business Development, and other 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 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 analytics products are consistent, accurate, usable, and performant.
Partner with Data Engineering and Enterprise Architecture to define data requirements and support reliable, governed, 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 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 improve them based on user needs and results.
Evaluate emerging analytics and AI capabilities that may enhance enterprise decision-support solutions.