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Eksekutif Analisis SDM (HR Analytics Executive)
About this position
HR Analytics Executive bertanggung jawab untuk menganalisis dan menafsirkan data SDM untuk memberikan wawasan dan rekomendasi untuk pengambilan keputusan strategis. Posisi ini melapor kepada Human Resource Manager dan berkolaborasi dengan berbagai departemen untuk mengidentifikasi tren, meningkatkan kinerja karyawan, dan mengoptimalkan proses SDM. HR Analytics Executive memainkan peran penting dalam mendorong inisiatif berbasis data dan memastikan strategi sumber daya manusia perusahaan selaras dengan tujuan bisnisnya secara keseluruhan.
Responsibilities
• Collect and analyze HR data from various sources, such as employee records, surveys, and performance evaluations.
• Develop and maintain HR analytics dashboards and reports to provide insights and recommendations to HR and senior management.
• Identify trends and patterns in HR data to support strategic decision making and improve HR processes and policies.
• Collaborate with HR business partners and other stakeholders to understand their analytics needs and deliver data-driven solutions.
• Perform predictive and prescriptive analysis to forecast future HR trends and outcomes, such as attrition rates and talent acquisition needs.
• Design and implement HR metrics and key performance indicators (KPIs) to measure the effectiveness of HR programs and initiatives.
• Keep up to date with industry best practices and emerging trends in HR analytics to continuously improve the company's analytical capabilities.
• Ensure data accuracy, integrity and confidentiality by implementing data governance and security measures.
• Train and educate HR team members on HR analysis tools, techniques and methodologies.
• Present findings and recommendations to HR and senior management
Requirements
• Bachelor's degree in Human Resources, Statistics, Mathematics, or related field.
• Proven experience in Human Resource Analytics, including data analysis and reporting.
• Strong knowledge of HR processes and systems, including HRIS and ATS.
• Proficiency in statistical analysis tools and software, such as R or Python.
• Excellent communication and presentation skills, with the ability to translate complex data into actionable insights for HR and business leaders.