Data Management Officer - Kakuma at Lutheran World Federation

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.