General Dynamics Electric Boat · 9 hours ago
Data Modeler & BI Developer – Supplier Quality Analytics
US-CT-Groton
Full-time
Onsite
Mid Level
3+ years expGeneral Dynamics Electric Boat is focused on modernizing data deliverables and optimizing products to support business expansion and productivity. The Data Modeler & BI Developer will champion data analytics principles, deliver reliable solutions, and collaborate with various teams to enhance the BI community.
Manufacturing
No H1B
Security Clearance Required
Responsibilities
Build and maintain both tabular models and interactive dashboards using Power BI Online
Write, optimize, and maintain advanced DAX calculations for performance and usability
Lead discussions to establish clear requirements, maintain communication throughout development, and validate deliverables with stakeholders
Develop and maintain project plans, timelines, and documentation for BI initiatives
Apply dimensional modeling principles (facts, dimensions, star schema, snowflake schema, conformed dimensions)
Ensure data quality, consistency, and accuracy across reporting layers
Understand data extraction, transformation, and loading for analytics infrastructure
Develop and optimize SQL queries for data extraction, transformation, and analysis
Ensure models are scalable, documented, and compliant with EB BI Hub guidelines and data governance standards (Security, Permissions, Version Control, etc.)
Create processes that enhance Supplier Quality data analytics capabilities
Support evaluation and implementation of new technology solutions, including RPA and AI
Coach customers and team members on operationalizing BI products to support business metrics
Provide data-driven insights and support root cause investigations as needed
Qualification
Required
High School Diploma or G.E.D. equivalency
3+ years of experience with Power BI
1+ years of experience as a Data Modeler or Data Architect, using data modeling software (i.e. PBIO, Visual Studio, MS SQL Server, SSMS, Alteryx)
Proficiency in MS Office Suite
Experienced skillset with Project management, requirements gathering and validation
Preferred
Bachelor's Degree in in Data Science, Computer Science, Engineering, Information Technology, or related field
Solid understanding of data transformation tools (Power Query, SQL Server, or similar)
Experience and familiarity with: DAX, M Code, SQL, or other coding languages; SQL Developer or other database tools; JIRA, GitHub and Visual Studio for source control and solution management; UiPath, RPA and AI applications and solutions
Exposure to ETL processes and data warehouse concepts
Power BI (Modeling & Visualization)
SQL, DAX, M Code
Semantic Modeling, SSAS Tabular Modeling, Visual Studio, SSMS
Data literacy and transformation
Project management and documentation
Customer engagement and communication
RPA and AI
MS Office Suite
Ability to work collaboratively and eagerness to learn
Ability to design and optimize data models for performance, efficiency, and usability
Experience applying data analytics to assess quality performance and metrics
Knowledge of data governance, master data, and security best practices
For Electric Boat employees: understanding of Electric Boat's data infrastructure, reporting requirements, and compliance standards
Six Sigma or Black Belt experience
Strong problem-solving skills and ability to translate business requirements into technical solutions
Advanced education, licenses and/or certifications in data analytics, visualization, or related fields
Strong understanding of relational databases and data modeling best practices
Experience building and optimizing tabular models
Proven ability to collaborate with both technical and non-technical stakeholders
Company
General Dynamics Electric Boat
General Dynamics Electric Boat is a business unit of General Dynamics with headquarters in Groton, CT.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Beth Rafferty
Vice President and Chief Supply Officer
Ken Jeanos
Chief Information Officer
Recent News
Providence Business News
2025-09-30
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