The Data Analyst works within the Analytics Unit of the VENN department. The Data Analyst is crucial for economic research, data analysis, and program evaluation. They will manage data, run economic models, prepare reports, and provide insights for informed decision-making. This role involves collaborating with both internal and external stakeholders to enhance and improve program effectiveness and measure its impact.

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 opportunities for innovation.

Qualifications and Skills: 

• 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