Key Requirements:

1. Two years’ experience in people analytics, HR analytics, or a related field,

2. Experience with HRIS (Human Resource Information Systems) and data visualization software (e.g., Power BI, Tableau),

3. Excellent analytical and problem-solving skills with the ability to translate data into actionable insights,

4. Strong interpersonal and communication skills, with the ability to present complex data in a clear and understandable manner,

5. Ability to work collaboratively with HR teams and other stakeholders. 


Responsibilities: 

• Collect, analyze, and interpret HR data to support decision-making and strategic planning.
• Develop and maintain dashboards and reports that provide insights for HR teams.
• Conduct statistical analyses to identify patterns and trends in employee data.
• Collaborate with HR and business leaders to identify key performance indicators and metrics for measuring HR effectiveness.
• Collect, analyze, and ensure the accuracy of data related to processes, systems, strategies, and other relevant HR areas. 
• Provide scheduled, ad hoc reporting and comprehensive reports and data related to human capital to the HR department and external requesters. 
• Provide recommendations for improving HR processes and practices based on data-driven insights.
• Stay updated on industry best practices and emerging trends in people analytics and HR technology. 
• Managing and analyzing employee surveys related to HR, including design, implementation, and analyze. 
• Provides actionable recommendations to enhance processes and improve employee experience.

Qualifications:

• Bachelor’s degree in Industrial Engineering, Human Resources, Statistics, Business, Management, or a related field; Master’s degree preferred.
• 2 years of experience in people analytics, HR analytics, or a similar role.
• Proficiency in data analysis tools and techniques, including Excel, SQL, R, or Python.
• Experience with data visualization tools such as Power BI, Tableau, or similar.
• Strong understanding of HR processes, metrics, and best practices.