Manager, Compensation and AnalyticsPortsmouth, NH

Advanced Excel and working knowledge of financial/statistical modeling, data analysis, workforce planning methodologies alongside the ability to leverage AI

Strong business acumen with the ability to synthesize complex data into clear, actionable insights for senior leaders, and connect talent analytics to commercial and operational outcomes

Experience in a global, regulated industry (medical device, healthcare, or life sciences strongly preferred)

Exposure to data governance practices, audits, and controls

Create predictive and scenario-based workforce models (e.g., headcount planning, attrition risk, labor cost optimization) supporting business growth and organizational design