Analyst, Measurement, Evaluation & Learning (MEL) at The END Fund

ESSENTIAL FUNCTIONS & CORE COMPETENCIES

Conceptualization and development of MEL tools and activities

• Assist in the design of comprehensive M&E strategies, policies, frameworks, and toolkits (including performance indicators and benchmarks) through research of best practices and tools and thorough examination of literature, and disseminate amongst the Programs team
• Manage and/or assist in the implementation of specific activities designed to evaluate our programmatic investments, either conducted internally or by external evaluators
• Aid the development and maintenance of ad-hoc MEL tools to compile, analyze and report the fund’s data and progress, including epidemiological, coverage and impact survey data
• Contribute to enhancement of systems and procedures for continuous functional improvement

Data management and analysis

• Oversee specific aspects of MEL within END Fund projects, ensuring END Fund, partner, and donor requirements are being met
• Liaise regularly with Programs colleagues to ensure M&E requirements are understood, completed, and submitted in a timely manner, and provide support to staff members to ensure high quality data collection and reporting
• Propose and implement new analyses depending on project needs; identify methods to strengthen M&E processes
• Conduct regular quantitative and qualitative data analyses on baselines, targets and performance to assess program impact, inform ongoing program implementation and contribute to organizational targets
• Support data management processes in Salesforce and other systems, including database updates and data visualisations, and monitor the development of defined indicators within the Salesforce database
• Travel on behalf of the END Fund up to 25% domestically and/or internationally (when travel safely resumes)
• Any other activities as requested by the Director, MEL

Technical support in survey design and implementation

• Support the supervision of planning, design and implementation of data collection surveys administered by the END Fund’s implementing partners (including NGOs, INGOs and government ministries); support Director in conducting and commissioning evaluations of END Fund programs
• Review findings from data analysis and final reports developed by implementing partners to verify coherence and provide programmatic recommendations, and conduct additional dataset analysis as required

Board and donor reporting

• Liaise with members of the Program team, the Strategy & Operations team and the Investor Relations team to update relevant tracking and reporting tools on a regular basis using Salesforce
• Support development of presentations and other materials to support communication of performance

Learning, knowledge sharing and dissemination

• Support the Director, MEL to develop and implement a learning agenda that assesses, documents and shares lessons with internal and external audiences as appropriate (e.g. annual learning events, communities of practice, conferences)
• Keep up-to-date with research and guidelines related to M&E for neglected tropical diseases
• Support the design and delivery of MEL training and capacity-building activities to implementing partners and/or within the END Fund

EDUCATION AND EXPERIENCE

• Master’s Degree required in a quantitative field related to M&E, such as data management and analysis, epidemiology, biostatistics or another relevant discipline
• Minimum of five years of directly relevant experience in M&E, research, survey implementation and/or epidemiological work (essential), with at least two years in the global health sector working in NTDs, infectious disease, disease elimination or similar practice (preferred but not required)
• Experience developing and implementing M&E metrics and tools, including indicator development, data collection, and quantitative and qualitative analysis. Epidemiological survey design, analysis, and management in low-resource countries is preferred
• Proven experience in statistical analysis in an epidemiological context, with strong attention to detail
• Experience in using R or STATA statistical coding packages
• Proficiency in data cleaning, merging and analysis of programmatic datasets, ideally with Salesforce and Tableau
• Excellent verbal and written communication skills
• Strong organizational, time management, and analytical capabilities
• Proven ability to work independently using own initiative
• Passion for and commitment to the END Fund's humanitarian mission
• Ability and willingness to travel, once travel safely resumes
• Authorization to work in Kenya, United Kingdom, or United States, without visa sponsorship, required