Insights Analyst
Listed on 2025-12-20
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
RELOCATION ASSISTANCE:
No relocation assistance available CLEARANCE TYPE:
None TRAVEL:
Yes, 10% of the Time
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.
We are seeking a People Insights Analyst to join Northrop Grumman’s People AI & Analytics organization. This position will support the Mission Systems sector, and the selected candidate will report to the Manager, NGMS People Analytics. We will consider hybrid or fully remote arrangements for this position, with preference for candidates located near Mission System sites in Falls Church, VA, Linthicum, MD, Rolling Meadows, IL, Salt Lake City, UT, Woodland Hills, Sunnyvale, and San Diego, CA.
At Northrop Grumman, People AI & Analytics is a core domain within our Insights & Intelligence (i2) organization. As part of our Chief Information & Digital Office (CIDO), i2 works with all enterprise domains and businesses to drive our data, analytics & AI transformation.
As a People Insights Analyst, you will conduct quantitative analyses and develop innovative data products that help to answer challenging workforce questions. Through these efforts, you will enable HR leaders and business partners to make informed decisions across multiple areas of human capital including, but not limited to talent acquisition, culture, talent management, compensation and retention.
Keys to success- Being curious, detail-oriented, and ethically conscious.
- You seek to ask the right questions about our strategies, the business, and how we can use data to find solutions.
- You are a strategic thinker who can translate data to create well-informed decisions to enable better business outcomes.
- You want to drive positive change for our organizations, are candid and collaborative in taking on our most difficult analytics projects as well as the process and culture changes that accompanies them.
- You build deep and trusted partnerships at the working and organizational levels.
- Creating strategic analyses by forming structured hypotheses, identifying patterns in data using quantitative methods and effective data visualizations, and deriving insights that drive decision making.
- Authoring rigorous, data-driven, and peer reviewed reports (white papers and briefs) that inform and enable HR leaders and executives.
- Developing and maintaining innovative products that leverage data and advanced analytics.
- Defining data requirements, gathering and validating information, while also applying sound judgment for people-related business problems and workforce management decisions.
- Driving projects from initial concept through deployment, leveraging opportunities for automation.
- Working directly with a wide range of stakeholders, including executive leaders and HR partners, to understand organizational needs and business questions.
- This role can be performed by a level 2 (early career) or level 3 (mid-career) professional.
- Level 2:
Bachelor’s degree with 2 years of related professional experience - OR - a Master’s degree with 0 years of related professional data analytics experience. - Level 3:
Bachelor’s degree with 5 years of related professional experience - OR - a Master’s degree with 3 years of related professional data analytics experience - OR – a PhD with 1 year of related professional data analytics experience - Must have a degree in a quantitative field (engineering, mathematics, economics,…
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