Workforce strategy, HR analytics, labor economics, organizational psychology, or a closely related field.
8+ years of relevant consulting experience in workforce strategy, HR analytics, labor economics, organizational psychology, or a closely related field.
Master's or PhD in economics, I-O psychology, statistics, data science, computer science, labor relations, or another quantitative discipline.
Demonstrated experience in pay equity analysis, strategic workforce planning, external labor market analysis, or comparable workforce consulting engagements.
Strong statistical and machine learning skills: regression, causal inference, time series, clustering, and predictive modeling.
Proficiency in modern data tooling and languages (e.g., Python, R, SQL) and experience with visualization tools (e.g., Tableau).
Hands-on experience extracting value from large and varied datasets and translating technical outputs into business actions.
Duties:
Translate business problems into analytics-driven workforce solutions that combine qualitative research, advanced statistics, and AI-enabled methods (including machine learning and large language models) to uncover workforce dynamics and strategic opportunities.
Design, build, and operationalize analytic models and data products (e.g., forecasting models, skills taxonomies, retention risk scoring, internal mobility recommendations) that leverage structured data, unstructured text (job descriptions, performance feedback), and third-party labor market signals.
Lead client engagements as the analytics and AI subject-matter lead: define analytic approaches, present findings, translate insights into prioritized workforce investments, and co-create implementation roadmaps with client stakeholders.
Drive pay equity, strategic workforce planning, and external labor market analyses using both classical econometrics and AI-enhanced approaches; quantify business impact and ROI for recommended interventions.
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