Senior Insights Analyst - Level 3

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, DevOps 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., ServiceNow, CMDB, infrastructure telemetry, DevOps pipelines, cybersecurity metrics, IT financial forecasting).

• Experience using Git for version control and collaborative development.

• Experience developing, transforming, and analyzing large-scale datasets in cloud-based analytics environments (e.g., Databricks, Snowflake).

• Experience designing data models that support enterprise data architecture and governance.

• Experience applying machine learning, predictive modeling, and AI techniques to improve forecasting, anomaly detection, performance monitoring, and automation.

• Background in consulting or client-facing technical roles translating business challenges into scalable technical solutions.

You'll be a great fit if:

• Your curiosity fuels innovation: You consistently pose insightful questions about strategy, process, and technology, uncovering opportunities that drive breakthrough solutions.

• You have high agency: You proactively gather information, identify blockers, operate effectively in ambiguity, and make thoughtful decisions with incomplete information.

• You demonstrate rigor: Your analyses are structured, reproducible, and statistically sound, earning senior‑leadership trust and upholding the highest standards of quality.

• You champion transformation: Whether delivering high-impact analytics or enabling AI capabilities, you inspire stakeholders to embrace smarter, data-driven ways of working.

• You are a bridge‑builder: You can talk to data scientists about model deployment, engineers about infrastructure, and business stakeholders about problem scopes. You translate and collaborate across domains.