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SamsungPosted 3 weeks ago

Manager, People Analytics & Workforce Intelligence

$141,000–$219,000 year

On-siteSan Jose, California, United States

Full TimeEnterpriseSemiconductor

Job Summary

Own and evolve the HR KPI, scorecard, and dashboard framework by measuring, automating, and continuously improving metrics that inform business decisions. Partner with HR leadership and business stakeholders to turn workforce data and external market intelligence into insights, scorecards, and narratives that drive talent strategy. Lead end-to-end analytics requests from data sourcing to visualization, blending internal survey data with external labor-market intelligence to surface actionable themes and trends. Set standards for data quality by identifying key questions, building durable automated solutions, and leveraging AI tools to accelerate workflows and create self-service analytics experiences for stakeholders.

Required Qualifications

  • Bachelor's degree in a quantitative, business, economics, or other related field
  • At least 5 years of progressive experience spanning people/HR analytics and talent, labor-market, or competitive intelligence (or closely related research or consulting work), including experience influencing senior stakeholders
  • Advanced proficiency in Excel (advanced formulas, macros, power query) and Tableau
  • Experience analyzing survey data (e.g., engagement, L&D, or pulse surveys) and translating findings into insights
  • Strong analytical and research skills: comfortable both analyzing internal data and synthesizing many disparate external sources into a clear, defensible point of view
  • Excellent communication and data-storytelling skills, with a track record of informing and influencing decisions through data and insights
  • Curious, inquisitive, and comfortable working through ambiguity
  • Daily onsite presence at our San Jose Headquarters in alignment with our Flexible Work policy

Desired Qualifications

  • Advanced degree
  • SQL, Python and/or R
  • Experience with HR systems and tools such as Workday, Greenhouse, or similar
  • Familiarity with talent-intelligence and labor-market data sources such as LinkedIn Talent Insights or Draup
  • Experience with survey platforms and text or sentiment analysis of open-ended responses
  • Experience with data management, including building data systems and validating reports from disparate systems
  • Demonstrated interest in leveraging AI tools to design analytics and market intelligence solutions
  • Experience leveraging AI tools to design analytics and market intelligence solutions

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