Recruitment Data Coordinator (Healthcare)

We are looking for an energetic and experienced Recruitment Data Coordinator (Healthcare)who can help our clients with their daily operations, business, and personal-related tasks. You will be working with an exciting startup organization of eager and young professionals who are hungry for growth and opportunities!
 

This is a great opportunity for someone who wants to work with a well-known brand and wants continuous learning and growth during their career. 
 

Salary Range:  PHP 45,000 - 60,000 per month

 

Note: Rate/Salary will depend on your current competencies matched to the position’s job description and requirements based on the assessment results.


The Benefits

• 100% Work From Home
• Attendance, Performance, and Referral Bonuses
• Paid Holidays and Time Offs
• HMO
• Continuous Learning and Development 
• Bi-weekly salary payout
• Work-Life Balance

• Review and evaluate candidate records in Bullhorn ATS for accuracy and completeness.
• Update candidate profiles to reflect accurate qualifications, skills, and statuses (e.g., RN vs. LPN or “Not in Profession” for unqualified applicants).
• Maintain consistent data cleanup standards to ensure uniformity across all eight company brands.
• Support efforts to map resumes to appropriate job skills and classifications for healthcare and education staffing.
• Provide regular updates and progress reports to the team lead on completed records and areas of improvement.

• 1+ year of experience with ATS platforms (Bullhorn or similar).
• Strong attention to detail and ability to evaluate resumes for relevant qualifications.
• Basic understanding of healthcare and education staffing roles or a willingness to learn quickly.
• Experience in data cleanup, data entry, or related administrative tasks.
• Excellent organizational and time-management skills.
• Ability to work in a secure environment and follow confidentiality guidelines.
• Ability to work EST hours. 

• Familiarity with staffing processes and candidate placement workflows.
• Previous experience with multi-brand or large-scale data systems.
• Background in healthcare or education industries.