People Insights Analyst at Northrop Grumman conducting quantitative analyses and developing innovative data products for workforce questions. Enabling HR leaders to make informed decisions across human capital areas.
Responsibilities
Conduct quantitative analyses and develop innovative data products that help to answer challenging workforce questions.
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.
Create strategic analyses by forming structured hypotheses, identifying patterns in data using quantitative methods and effective data visualizations, and deriving insights that drive decision making.
Author rigorous, data-driven, and peer reviewed reports (white papers and briefs) that inform and enable HR leaders and executives.
Develop and maintain innovative products that leverage data and advanced analytics.
Define data requirements, gather and validate information, while also applying sound judgment for people-related business problems and workforce management decisions.
Drive projects from initial concept through deployment, leveraging opportunities for automation.
Work directly with a wide range of stakeholders, including executive leaders and HR partners, to understand organizational needs and business questions.
Requirements
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 at least 3 years of related professional data analytics experience - OR – a PhD with 1 year of related professional data analytics experience.
Must have the ability to extract and manipulate data from databases using SQL and write custom queries.
Familiarity with common table expressions and building views.
Must have the 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 data storytelling through building compelling, concise, and insightful white papers and presentations to communicate developed insights.
Proficient in data visualization using Tableau or similar dashboarding tools.
Experience collaborating on projects across teams, managing relationships, and communicating findings to audiences.
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