Data Monitoring & Data Quality
Lead and manage the Program Data Management work stream activities and ensure that program related data in the program area is accurate and timely to support decision making and reporting.
Review/develop data collection tools to harmonize data collection and processes and ensure all staff adhere to its usage and guidelines
Conduct monthly data quality audits (DQA) to ensure accuracy and validity of data collected in compliance with data management SOPs.
Data Analysis
Carry out basic data analysis and provide feedback on the patterns that consistently be used by the management for decision making.
Facilitate collaboration with Technical Leads to use data trends to inform program implementation and project perfromance
Conduct additional analyses in support of understanding program performance and opportunities for improvement
Collaborate with project teams to track progress on project objectives and indicators and inform implementation strategy using monitoring data
Data system Development
Develop, design and regularly review data management SOPs to document processes for data collection, storage, sharing, and transfer
Support data collection for ongoing studies/ assessments in collaboration with Programs teams
Continuous data cleaning in the ActivityInfo database
Additional DMO responsibilities
Contribute to capacity building of the project team on data management
Any other duty, as guided by line manager
Qualifications
Bachelor's Degree in Statistics, Computer Science or ICT
At least 2 years of progressively responsible and directly relevant professional experience in a humanitarian context, with at least 1 year of data management experience in preferably Protection and Education programs in INGO context.
Possess working knowledge and experience of humanitarian principles, laws and standards – Core Humanitarian Standards (CHS), Sphere Minimum Standards, Prevention of Sexual Exploitation and Abuse (PSEA), Rights Based Approach (RBA) and Gender Age Marker.
Experience in dealing with sensitive socio-political situations and working and living under pressure in unstable security environments and with long and irregular working hours would be an added advantage.
Experience with mobile Data Collection tools and techniques using Ms. Excel, ActivityInfo and Kobo Collect tools.
Experience developing and supporting data analysis (basic descriptive statistics) and visualizations for M&E ideally using Ms. Excel, SPSS, Power BI or Tableau.