• Program Monitoring (70%): • Design, develop, and update data collection and aggregation pipelines for Program Monitoring Reporting. • Prepare and develop comprehensive quarterly Master Scorecard reports and dashboards. • Conduct data quality checks to ensure the submitted reports meet RTV’s set data standards. • Support in the training of the Data Collectors on data collection methods and best practices. • Analyze the program output/outcome reports. • Prepare reports showing the overview and outreach of the RTV activities. • Engage with stakeholders to share findings and contribute to discussions on key issues from the reports. • Support & Collaboration (20%) • Support in training of the PAs/POs and the Data Collectors for AHS/SE’s surveys. • Participate in the preparation of evaluation values and deep dive analysis for the impact report. • Support in the data analysis for the different data requests for donor reporting. • Act as a liaison between program monitoring and other units or departments within RTV. • Support in the implementation of the strategic work plan for program monitoring activities. • Support the development and updating of data collection training manuals. • Provide end of program activities reports with other key stakeholders upon request. • Research (10%) • Conduct economic research and analyze trends to inform program interventions. • Conduct research on the best M&E tool and practices for integration in RTV M&E processes • Utilize econometric techniques and statistical analysis to interpret data and provide technical guidance. • Support the organization in staying current on developments in economics and data analysis trends to identify innovation opportunities.

• Bachelor’s degree in any Statistics related course such as Statistics, Economics, Quantitative Economics, Mathematics, or any related field. • At least 3 years of experience in data management, analysis, program monitoring or evaluation and reporting. • Proficiency in statistical software and tools such as R, Python, STATA, Alteryx and MS Excel. • Data visualization skills in PowerBI, Tableau, Shiny, etc, is an added advantage. • Strong analytical and problem-solving skills with a focus on results-oriented thinking. • Excellent interpersonal and communication skills, with the ability to present complex concepts clearly. • Experience in data lifecycle management, including collection, analysis, and reporting. • Ability to work effectively with changing priorities and competing deadlines. • Experience in participatory research and working with rural communities is advantageous. • Commitment to inclusivity and diversity in the workplace