Senior Insights Analyst - Level 3

RELOCATION ASSISTANCE:
No relocation assistance available

CLEARANCE REQUIRED FOR START:
No

CLEARANCE TYPE:
Secret

TRAVEL:
No

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon.

We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman is currently seeking a Senior Insights Analyst – Level 3 to join our Insights & Intelligence (i2) organization. This role supports the Chief Information & Digital Office (CIDO) function and reports to the Manager, CIDO AI & Analytics. The preferred location for this role is Falls Church VA . We will also consider a remote working scenario for this role.

Within CIDO, our AI & Analytics team partners with senior technology leaders across infrastructure, cybersecurity, enterprise applications, digital engineering, and service management to transform complex operational data into scalable analytic products and AI-enabled decision support tools. As a Senior Insight Analyst , you will design and deliver rigorous analyses, curated data products, and AI-enabled solutions that help CIDO optimize investments, improve operational performance, and accelerate digital transformation in support of our enterprise technology strategy.

In this job, you will:

• Partner with CIDO leaders to translate ambiguous operational and strategic questions into structured analytic approaches and solutions.

• Extract, transform, and analyze data from complex enterprise systems (e.g., ITSM platforms, CMDB, infrastructure monitoring tools, Dev Ops pipelines, cybersecurity systems, financial systems).

• Conduct quantitative analyses using statistical and computational methods to identify trends, risks, and optimization opportunities.

• Present findings through clear data storytelling tailored to executive and technical audiences.

• Develop and maintain analytic products, dashboards, and automated pipelines that reduce manual reporting and accelerate time-to-insight.

• Define, develop, and govern business metrics and KPIs aligned to enterprise technology goals.

• Collaborate with data engineering and platform teams to deploy analytics solutions and support model deployment.

• Stay current on industry trends, emerging AI capabilities, and best practices in enterprise analytics.

• Other duties as assigned.

Basic Qualifications:

• Bachelor’s degree with 5+ years of relevant analytics professional experience – OR – Master’s degree with 3+ years of relevant analytics professional experience.

• Strong proficiency in SQL for extracting, manipulating, and querying large, complex datasets.

• Strong proficiency in Python (preferred) or R for data analysis, visualization, and automation.

• Experience applying quantitative and statistical methods to solve operational or business problems.

• Experience developing interactive data visualizations using business intelligence tools (e.g., Power BI, Tableau).

• Demonstrated experience translating ambiguous problems into structured analytic solutions.

• Experience developing performance metrics and using them to inform strategic or operational decisions.

• Strong data storytelling and executive communication skills.

• Experience collaborating across technical and business teams.

• Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance. US Citizenship is a prerequisite.

Preferred Qualifications:

• Degree in a quantitative field (e.g., engineering, mathematics, statistics, economics, computer science).

• Experience working with IT operational data (e.g., Service Now, CMDB, infrastructure telemetry,…