JOB DETAILS:

About Us

At Raising The Village (RTV), we are dedicated to eradicating ultra-poverty in Sub-Saharan Africa. As a dynamic, rapidly growing international development organization, we’ve assembled a team of over 250 passionate individuals in Uganda, alongside an additional 17 professionals in North America and 15 in Rwanda. Together, we are committed to elevating communities out of ultra-poverty by implementing innovative solutions and leveraging advanced data analytics to drive impact.

To date, our holistic approach has positively impacted over 1 million lives since 2012, and we’re poised to achieve even greater milestones, aiming to assist 1 million individuals annually by 2027. Our growth and success are fueled by the invaluable support of global partners who share our vision of sustainable change. Learn more about our impactful programs at www.raisingthevillage.org

The VENN department is the data and technology backbone of our organization, connecting advanced analytics, and custom software tools with field implementation to ensure data-informed decision-making at every level.

Job Summary:

The Data Analyst works under the Analytics Unit within the VENN department. The Data Analyst is crucial for economic 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.

Roles and Responsibilities:

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.

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