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Data Enumerator (DTM) - VAC-69960

Committed To Good (CTG) | Lagos, Nigeria

Full-time Posted today 0 views

About the Role

Committed To Good (CTG) is an award-winning private sector company that enables humanitarian and development projects in conflict zones. We are currently seeking a dedicated Data Enumerator for our Displacement Tracking Matrix (DTM) program under vacancy ID VAC-69960. In this field-based role, you will play a critical part in collecting, verifying, and reporting accurate data to support decision-making in humanitarian operations across Nigeria.

Key Responsibilities
  • Collect reliable field data following the DTM methodology, schedules, and established assessment tools.
  • Maintain data integrity, credibility, and strict confidentiality in alignment with humanitarian principles and data protection standards.
  • Monitor DTM field operations, identify areas for improvement, and promptly transmit collected information to the Team Leader.
  • Conduct rapid registrations, community surveys, and stakeholder interviews as required.
  • Collaborate effectively with local partners, community leaders, and internal teams to ensure seamless project execution.

Qualifications
  • Certificate, Diploma, or University Degree in a relevant field of study.
  • Minimum of 1 year of professional experience for degree holders, or 2 years for diploma holders.
  • Mandatory prior experience working within the humanitarian sector, NGOs, or INGOs.
  • Strong background in data collection, statistics, and fieldwork operations.
  • Excellent communication, leadership, and community engagement skills with high ethical standards.

Benefits
  • Competitive remuneration package commensurate with experience and humanitarian sector standards.
  • Opportunity to make a tangible impact in vulnerable communities and conflict zones.
  • Professional development and deployment experience with a leading international people solutions provider.

Skills

Data Collection DTM Methodology Humanitarian Assistance Statistics Community Engagement Data Integrity Survey Operations
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