below marketmost similar roles pay hereabove market
This role pays more than
54%
of similar roles. Most pay
$127,987–$182,530
— the blue band above.
At the midpoint, this role pays about
$162k
versus about
$155k
for comparable roles.
Based on 240 similar postings.
Employer
About Northrop Grumman
Northrop Grumman is a leading global aerospace and defense technology company providing systems in autonomous systems, cyber, C4ISR, space, strike, and logistics. Industry: Aerospace & Defense
Northrop Grumman currently has
654 open roles
on FindRole.
Listed pay typically runs
$117,500–$176,300
across 328 roles with salary data.
The Sr Principal Data Insight Analyst joins the Northrop Grumman Aeronautics Systems team to lead the modernization of a business-critical analytics solution for F-35 material cost estimating. This role involves assessing current implementations, documenting data lineage, and identifying technical debt to create a phased modernization roadmap. The analyst will design and optimize scalable data products, including semantic models, data pipelines, and governed datasets. Key responsibilities include developing SQL-based ETL processes, refactoring complex calculations, and providing technical leadership through code reviews and mentoring. Required skills include advanced proficiency in Power BI, Microsoft Fabric, Azure data services, SQL, and Python. The position requires translating complex business requirements from material estimators into durable analytical capabilities while ensuring data quality, security, and performance across large enterprise datasets.
Assess current analytics implementations to document data lineage, identify technical debt, and lead a modernization roadmap.
Design and optimize scalable analytical data products including semantic models, data pipelines, and governed datasets.
Diagnose and resolve performance issues related to capacity, memory, query speed, and data volume.
Evaluate the technology stack to recommend tools and architectures for scalability, security, and business continuity.
Develop and refactor complex SQL-based data-integration and ETL processes to ingest and reconcile enterprise data.
Create governed model definitions, naming conventions, calculation standards, and comprehensive technical documentation.
Apply source control, peer review, testing, and release-management practices to analytics models and automation artifacts.
Translate business requirements from estimators into durable analytical capabilities and provide technical leadership to the team.
What we're looking for
Must be a US Citizen with the ability to obtain and maintain a Secret clearance.
Must have a bachelor's degree and 8 years experience, a master's degree and 6 years experience, or a PhD and 4 years experience in a relevant field.
Must have advanced experience designing and optimizing complex enterprise analytics solutions using Power BI, Microsoft Fabric, Azure data services, or comparable technologies.
Must have demonstrated experience modernizing large or technically complex analytics solutions while maintaining continuity for active business operations.
Must possess strong SQL skills for developing and optimizing complex queries, transformations, views, and stored procedures against large datasets.
Must have demonstrated knowledge of dimensional modeling, star schemas, data lineage, and semantic-layer design.
Must have experience integrating multiple structured data sources into repeatable analytics pipelines and implementing data-quality checks and version control.
Must have advanced proficiency with Microsoft Excel, including analysis of large datasets using Power Query and pivot tables.
Tableau
SQL
Power BI
Python
R
Databricks
Palantir
Denodo
Excel
Data Visualization
Data Governance
Business Intelligence
Data Extraction
Enterprise Data Warehouses
SQL
Power BI
Tableau
Oracle Analytics
Data Visualization
Statistical Modeling
Data Mining
Data Transformation
Data Management
Exploratory Data Analysis