
HR Data Analyst
6 days ago
About iyzico
iyzico is a leading online payment services provider that utilizes artificial intelligence-based technologies to empower businesses of all sizes. Founded in 2013, the company has achieved remarkable success by simplifying complex payment processes and providing robust financial services. Its acquisition by PayU in 2019 marked a significant milestone in its journey towards democratizing financial services.
iycizo's commitment to innovation and customer satisfaction is evident in its Buyer Protection program, which ensures seamless shopping experiences for consumers. With 24/7 live support through its mobile app and streamlined cancellation/return processes, over 2 million consumers have shopped online under its protection. The company continues to evolve with innovative technologies that simplify online shopping for both consumers and sellers.
Key Responsibilities- Analyze HR data to inform workforce planning, recruitment, and employee engagement strategies.
- Develop and maintain dashboards and reports to track key HR metrics, ensuring timely insights for management.
- Present findings to stakeholders, providing actionable recommendations based on employee data analysis.
- Monitor HR KPIs (employee turnover rate, time-to-hire) and suggest improvements to optimize HR processes.
- Collaborate with the People & Culture team and business units to drive strategic decisions.
- Continuously explore new HR technologies and analytical tools to enhance HR analytics capabilities.
- Conduct benchmarking analysis to compare internal HR metrics with industry standards.
- Bachelor's degree in relevant fields such as Statistics, Engineering, or Management of Information Systems.
- Minimum 3 years of experience in HR analytics or related fields.
- Strong proficiency in data analysis and visualization tools like Excel, PowerPoint, or similar platforms.
- Ability to interpret complex data and translate insights into actionable HR strategies.
- Understanding of HR metrics, workforce planning, and predictive analytics techniques.
- Familiarity with data privacy regulations and best practices in handling sensitive HR data.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
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