HR Analytics
Published date: 2024/01/10
- Location: Kolkata, West Bengal, India
The HR Analytics Specialist will be responsible for managing and analyzing HR-related data to identify insights that can be used to improve organizational performance. The role will require expertise in data management, data analysis, and data visualization to provide insights on key HR metrics and identify trends and patterns within HR data. Key
Responsibilities:
• Develop and maintain HR dashboards and reports to monitor HR metrics, such as turnover rate, employee engagement, and diversity and inclusion metrics.
• Conduct in-depth analysis of HR data to identify trends, patterns, and insights that can inform decision-making and drive business outcomes.
• Partner with HR and business leaders to understand their data needs and provide insights to inform strategic decision-making.
• Use statistical methods and modeling techniques to develop predictive analytics and forecasting models to support HR and business initiatives.
• Develop and maintain HR data architecture and ensure data integrity and accuracy.
• Stay up-to-date on the latest trends and best practices in HR analytics and proactively identify opportunities to improve HR analytics capabilities.
Requirements:
• Bachelor's or Master's degree in HR, statistics, data science, or related field.
• 3-5 years of experience in HR analytics or related field.
• Strong analytical skills with experience in statistical analysis, data mining, and data visualization.
• Proficiency in SQL, R, Python, or other statistical software.
• Experience with HR information systems and data visualization tools such as Tableau.
• Strong communication skills and ability to translate complex data into actionable insights for non-technical audiences.
• Strong project management skills with the ability to manage multiple priorities in a fast-paced environment
Responsibilities:
• Develop and maintain HR dashboards and reports to monitor HR metrics, such as turnover rate, employee engagement, and diversity and inclusion metrics.
• Conduct in-depth analysis of HR data to identify trends, patterns, and insights that can inform decision-making and drive business outcomes.
• Partner with HR and business leaders to understand their data needs and provide insights to inform strategic decision-making.
• Use statistical methods and modeling techniques to develop predictive analytics and forecasting models to support HR and business initiatives.
• Develop and maintain HR data architecture and ensure data integrity and accuracy.
• Stay up-to-date on the latest trends and best practices in HR analytics and proactively identify opportunities to improve HR analytics capabilities.
Requirements:
• Bachelor's or Master's degree in HR, statistics, data science, or related field.
• 3-5 years of experience in HR analytics or related field.
• Strong analytical skills with experience in statistical analysis, data mining, and data visualization.
• Proficiency in SQL, R, Python, or other statistical software.
• Experience with HR information systems and data visualization tools such as Tableau.
• Strong communication skills and ability to translate complex data into actionable insights for non-technical audiences.
• Strong project management skills with the ability to manage multiple priorities in a fast-paced environment
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