Data Analyst – Program Monitoring

The Data Officer works under the Analytics Unit within the PEAL department. The Data Officer is crucial for ec research, data analysis, and program evaluation. He/She will manage data, run economic models, prepare reports, and provide insights for decision-making. This role involves collaborating with both the internal and external stakeholders to enhance and improve program effectiveness and measure 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 report

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.

Qualifications & 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.