Collaborate with HR Business Partners, Talent Acquisition, and business leaders
Present insights in a clear, compelling way to non-technical stakeholders
Influence decision-making using evidence-based recommendations
6. Data Management & Tools
Work with HRIS (e.g., Workday, SAP SuccessFactors) and data warehouses
Partner with IT/data engineering teams on data pipelines and integrations
Ensure compliance with data privacy and security regulations
7. Advanced Analytics & Innovation
Apply statistical techniques and machine learning where relevant
Drive experimentation (A/B testing) for HR initiatives
Stay updated with industry trends and best practices in People Analytics
Qualifications
Education
Bachelor’s or Master’s degree in Data Science, Statistics, HR, Economics, or related field
Experience
10–13 years of experience in analytics, with at least 5-6 years in People/HR Analytics
Experience managing end-to-end projects preferred
Experienced in EEOC, BLS, CSRD, GDPR, and similar reporting.
Technical Skills
Strong proficiency in SQL, Excel, Alteryx, Power Queries and data visualization tools (Power BI/Tableau)
Experience with Python/R is a plus
Exposure to Databricks is a plus
Exposure to Discovery Board and Prism is a Plus
Exposure to Visier is a Plus
Familiarity with HR systems (Workday, Sum total, Field Glass, Eighfold etc.)
Core Competencies
Strong analytical and problem-solving skills
Business acumen and ability to connect data to outcomes
Excellent communication and storytelling skills
Stakeholder management and influencing ability
Preferred Qualifications
Experience in large, matrixed or global organizations
Knowledge of statistical modeling, forecasting, and experimentation
Exposure to workforce planning and talent strategy
Key Success Metrics
Adoption and impact of analytics insights on business decisions
Improvement in key HR metrics (attrition, hiring efficiency, engagement)
Stakeholder satisfaction and engagement
Data quality and reporting efficiency
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