Senior Principal Quality Data Analytics Engineer

Northrop Grumman; Linthicum (MD); On-site; USD 123,000 - 185,000; Full time

Job summary

Northrop Grumman is seeking a data analytics professional to analyze large datasets from quality, manufacturing, engineering, supplier, and program sources to identify trends, systemic issues, and emerging risks.

Develop dashboards and KPIs to provide meaningful insights into quality performance, perform statistical analyses, and conduct risk assessments to prioritize resources and opportunities.

Qualifications

• Experience analyzing large datasets to identify trends and support decision making.
• Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Experience using Microsoft Excel for advanced data analysis (Power Query, Pivot Tables, formulas, etc.).
• Experience presenting technical information to various levels of leadership.

Responsibilities

• Analyze large and complex datasets from quality, manufacturing, engineering, supplier, and program sources to identify trends, systemic issues, and emerging risks.
• Participate in development of dashboards, scorecards, and visualizations that provide meaningful insights into quality performance.
• Perform statistical analyses to identify recurring defects, process variation, escape trends, and leading indicators of risk.
• Conduct risk assessments to prioritize Quality Engineering resources toward the highest-impact opportunities.
• Develop predictive metrics and leading indicators to support proactive quality management.
• Partner with Program Quality Engineers, Manufacturing Quality, Supplier Quality, Mission Assurance, and Engineering organizations to investigate trends and recommend corrective actions.

Skills

Power BI

Tableau

Microsoft Excel

Data Analytics

Data Visualization

SQL

Education

Bachelor's degree in Engineering/CS/Data Analytics/Math/Statistics

Master's degree in a related field

PhD in a related field

Tools

SQL

Job description

Northrop Grumman is seeking a data analytics professional to analyze large datasets from quality, manufacturing, engineering, supplier, and program sources to identify trends, systemic issues, and emerging risks.

Develop dashboards and KPIs to provide meaningful insights into quality performance, perform statistical analyses, and conduct risk assessments to prioritize resources and opportunities.