Deskripsi Pekerjaan
Are you a detail-oriented professional with a passion for data-driven recruitment? Innodata is looking for a talented MIS Specialist- Recruitment Analytics to join our growing team in Cebu. In this pivotal role, you will serve as the bridge between our technical systems and our human capital strategies. You will dive deep into recruitment data to identify trends, measure the effectiveness of our hiring channels, and build dashboards that empower our talent acquisition team to make smarter, more strategic decisions.
If you enjoy transforming raw data into actionable insights and optimizing complex processes, we want to hear from you. Join us to shape the future of talent acquisition through advanced analytics and help us find the best talent for our global clients.
Tanggung Jawab
- Develop and maintain MIS reports to track key recruitment metrics (KPIs) such as time-to-fill, cost-per-hire, and source effectiveness.
- Analyze large datasets to identify hiring trends, candidate demographics, and potential bottlenecks in the recruitment pipeline.
- Design and manage interactive dashboards using tools like PowerBI, Tableau, or SQL to visualize recruitment performance for stakeholders.
- Collaborate closely with HR and hiring managers to define data requirements and interpret complex analytics for strategic planning.
- Optimize recruitment workflows and Applicant Tracking System (ATS) configurations based on data-driven insights.
- Conduct regular audits of recruitment data to ensure accuracy and compliance with internal standards.
Kualifikasi
- Bachelor’s degree in Information Technology, Computer Science, Business Analytics, Human Resources, or a related field.
- Proven experience (2-4 years) as a Recruitment Analyst, MIS Specialist, or in a similar HR Analytics role.
- Strong proficiency in SQL, Excel (VLOOKUP, Pivot Tables), and data visualization tools like Tableau or PowerBI.
- Excellent understanding of recruitment methodologies, workforce planning, and HR metrics.
- Strong analytical mindset with the ability to translate complex data into clear, actionable business recommendations.
- Outstanding communication skills, with the ability to present findings to non-technical audiences.