Northrop Grumman-posted about 1 year ago
$113,500 - $187,300/Yr
Full-time • Senior
Remote • Falls Church, VA
Computer and Electronic Product Manufacturing

The Sr Principal Data Insight Analyst in People Analytics Product Development at Northrop Grumman is responsible for conducting quantitative analyses and developing innovative data products that address complex workforce questions. This role supports HR leaders and business partners in making informed decisions across various human capital areas, including talent acquisition, culture, talent management, compensation, and retention. The position emphasizes curiosity, strategic thinking, and collaboration to drive positive change within the organization.

  • Developing and maintaining innovative products that leverage data and advanced analytics.
  • Creating strategic analysis by forming structured hypotheses, identifying patterns in data using quantitative methods, and deriving insights that drive decision making.
  • Driving projects from initial concept through deployment, leveraging opportunities for automation.
  • Synthesizing and communicating results for executive audiences by capturing meaningful insights and takeaways from data.
  • Working directly with a wide range of stakeholders, including executive leaders and HR partners, to understand organizational needs and business questions.
  • Bachelor's degree with 8+ years of related professional experience - OR - a Master's degree with 6+ years of related professional experience - OR - a PhD with 4+ years of relevant experience.
  • Advanced ability to extract and manipulate data from databases using SQL and write custom queries, including familiarity with common table expressions and building views.
  • Expertise with data visualization using Tableau.
  • Ability to apply quantitative and statistical approaches to answer questions using data.
  • Proficient using an object-oriented programming language (e.g., Python or R) to conduct analysis and create visualizations.
  • Experience in executive data storytelling, building compelling, concise, and insightful presentations to communicate developed insights.
  • Experience collaborating on projects with multiple teams, managing relationships, and communicating findings to audiences.
  • Degree in a quantitative field (e.g., Math, Physics, Engineering, Statistics, Economics) is preferred.
  • Experience with people- or talent-related data.
  • Foundational understanding or exposure to more advanced analytics, such as machine learning.
  • Experience with U/X design principles.
  • Health insurance coverage
  • Life and disability insurance
  • Savings plan
  • Company paid holidays
  • Paid time off (PTO) for vacation and/or personal business
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