The Data Officer plays a crucial role in collecting accurate, timely, and reliable data to support Monitoring, Evaluation, Accountability, research and Learning (MEARL) activities across various programs. Working closely with the MEARL team and field supervisors, the Enumerator ensures data collected from the field meets quality standards, contributing to informed decision-making and program improvements.

Key Responsibilities:

• Data Management Oversight
• Design data collection tools for various programs
• Track real-time data entry from Kobo Collect.
• Flag incomplete or inconsistent entries and follow up with relevant stakeholders.
• Ensure training data meets minimum quality and format standards.
• TOT Coordination & Support
• Maintain a tracker of all stakeholder submissions per program.
• Conduct daily check-ins with stakeholders to confirm data accuracy and timeliness.
• Offer virtual guidance or refresher support on Kobo data entry as needed
• Data Analysis & Reporting
• Clean and aggregate data by region, topic, and participant demographics.
• Prepare and submit a weekly analytical report highlighting trends, gaps, and recommendations.
• visual dashboards or summaries to aid program reviews and adaptive planning.
• Learning and Documentation
• Contribute to program learning through timely documentation of data-related issues and solutions.
• Support knowledge management efforts by organizing datasets and storing insights systematically. Compliance with Ethical Standards
• Adhere to confidentiality and data protection protocols to safeguard the information provided by respondents. Respect the privacy and rights of all respondent’s, ensuring data is collected with integrity and professionalism. Follow all safety and ethical guidelines for working within communities.

Key Performance Indicators (KPIs):

• Achieve 295% accuracy and completeness in submitted data, with 295% of errors resolved within 24 hours. Maintain daily check-ins with stakeholders and ensure 100% on-time data submissions across programs.
• Deliver weekly analytical reports and at least 2 visual dashboards/month with actionable recommendations.
• Document at least 1 learning insight/month and ensure 100% of datasets are properly organized and archived. Ensure 100% adherence to data protection and ethical guidelines, with zero data breaches reported.

Required Qualifications

• Bachelor’s degree in data science, Statistics, Information Systems, Mathematics, Monitoring & Evaluation, or a related field.
• At least 3 years of experience in data management or MEL roles, preferably with Kobo Toolbox. Proven experience cleaning, analysing, and visualizing high volume of field data.
• Strong communication and coordination skills, with experience supporting remote teams.
• Ability to work independently and handle multiple country-level datasets.