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Tier-1 brand, metro location, mid-level generalist data title, and broad AI/analytics requirements increase competition.
Core analytics skills transfer, but HR-specific platforms and people-analytics domain knowledge increase fit sensitivity.
Explicit 5–8 years requirement plus mandatory analytics, programming, HR systems, and predictive modeling skills.
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Develop and maintain advanced people analytics solutions, including dashboards, predictive models, and AI-driven insights across the employee lifecycle.
Partner cross-functionally with HR, Talent Acquisition, Finance, IT, and Legal to enable strategic workforce planning and improve organizational effectiveness.
Continuously enhance data quality, governance, and modern analytics capabilities including NLP and generative AI applications for workforce insights.
Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, or related quantitative field or equivalent experience.
5 to 8 years of experience in People Analytics, HR Analytics, Workforce Analytics, Data Science, or related discipline.
Advanced skills in Tableau, Snowflake, SQL, Excel, Python and/or R, and experience with enterprise HR platforms such as Workday, ServiceNow, or Greenhouse.
Experience applying advanced statistical methods including regression, clustering, forecasting, text analytics, and sentiment analysis.
Experienced professional who can translate complex workforce data into actionable business recommendations through scalable analytics and compelling visual storytelling.
Practitioner skilled at integrating AI and NLP techniques into people analytics to address complex HR challenges and improve decision-making.
Collaborative partner able to engage effectively with multiple business stakeholders and drive cross-functional workforce planning initiatives within fast-paced environments.