The Ugandan Jobline

Job Title:   Data Analytics &, Monitoring & Evaluation Manager

Organisation: Educate!

Duty Station:  Kampala, Uganda

About the Company:

Educate! prepares youth in Africa with the skills to succeed in today’s economy. We tackle youth unemployment by partnering with schools and governments to reform what schools teach and how they teach it, so that students in Africa have the skills to attain further education, overcome gender inequities, start businesses, get jobs and drive development in their communities. Our model is delivered through practically-trained teachers and youth mentors. Educate!’s goal is to make this practical, skills-based model part of national education systems.

Job Summary:   Educate!, the largest youth skills service provider in East Africa is looking for a dynamic and enthusiastic Data Analytics and M&E Manager, you will play a pivotal role in helping Educate! achieve its goals by leveraging data to drive strategic decisions and enhance performance metrics systems. You will analyze and manipulate quantitative and qualitative data using advanced statistical software (e.g., Stata, SPSS) and programming languages (e.g., R, Python). You will develop and present comprehensive reports tailored to diverse audiences, ensuring actionable recommendations are implemented. Your expertise will be key in fostering a data-driven culture within the team, continuously refining data analytics systems, and improving operational efficiency and scalability.  The Ideal candidate is; a master coordinator and exceptional project manager, has a strong people manager, systems and process builder, great analytical and data-driven Skills and has strong communication and interpersonal skills.

Key Duties and Responsibilities:

System Build, Data Analysis and Reporting 40%

• Design and Improve Data Analytics Systems: Develop, implement, and continuously refine data analytics systems and tools including data visualization platforms to improve operational efficiency and scalability.
• Data Analysis: Utilize statistical software (e.g., Stata, SPSS) and programming languages (e.g., R, Python) to conduct advanced quantitative and qualitative data analysis of Monitoring data.
• Disseminate Findings through Dashboards, Reports and Presentations: Develop and present detailed reports through dashboards, Word and PPT formats, tailored to diverse audiences, and ensure actionable recommendations are implemented.
• Generate Insights: Share insights with stakeholders about what is driving trends to inform recommendations on how to use data to drive quality program design and implementation .
• Strengthen Data Culture: Support the team in adopting data-informed decision-making practices and enhance the overall data use culture within the organization.
• Uganda Performance Metrics Team Management and Development 30%
• Develop and Manage Uganda Performance Metrics Team’s Annual, quarterly and Monthly budget.
• Support the Head of Performance Metrics to develop quarterly OKRs for Uganda performance metrics Team and ensure their effective execution.
• Work with Uganda Performance metrics Coordinators to develop monthly work plans based on quarterly OKRs .
• Manage Uganda performance Metrics Team on their weekly tasks, to ensure efficient, accurate, and high quality performance metrics system management and reporting.
• Support Uganda performance Metrics Team on their professional development
• Design and execute periodic training on skills, software, systems, and processes that improve the quality of our performance metrics systems.
• Represent the Performance Metrics Team in Uganda country planning meetings and ensure that the Performance Metrics Team is aware of the country’s priorities.

Data Systems Design and Improvement: 20%

• Design and Implement M&E Tools: Ensure that the monitoring tools and systems from paper-based to online platforms, including platforms like Survey CTO, TextIt, and Google Forms are effectively designed on time.
• Develop Training Content: Ensure that the training contents for team members to understand tools functionality and troubleshooting are developed and delivered on time .
• Onboarding and Training: Work with Head of Performance metrics to create and execute the onboarding plans for new performance metric staff based in Uganda, facilitate orientation to performance metric data system, documentation and tools.
• Support Development of Performance Metrics Systems: Collaborate with the Head of Performance Metrics to develop and implement performance metrics system standards and processes.
• Ensure Adoption of Performance Metrics Standards and Processes: Ensure that Uganda Performance Metrics Team are aware and use the developed standards and processes that support the development and execution of quality performance metrics systems.

Evaluation, Research, and Measurement Support: 10%

• Support the Evaluation Function to plan logistics and execute evaluations, when needed, and to ensure performance metrics data is used in evaluation/research.
• Conduct deeper analyses of performance metrics and monitoring data, as needed and requested by Programs and Design teams.
• Support product teams in early stages on designing data collection and reporting to answer learning questions.
• Develop and implement minimum viable data systems for product models in validation, to support product teams in learning.

Qualifications, Skills and Experience:

• Data Analysis and Reporting: Minimum of 5+ years of experience in data management and analysis, with a strong background in using statistical software (e.g., Stata, SPSS) and programming languages (e.g., R, Python). Experience in Monitoring and Evaluation (M&E) is a plus but not required.
• Bachelor’s or Master’s degree in Data Science, Statistics, Economics, or a related field.
• Proven experience in data analytics, with a track record of managing data projects and teams.
• Experience in complex, fast-changing environments, in startups and social enterprises, with a track record of managing medium to large teams and balancing multiple priorities.

How to Apply:

All candidates should apply online at the link below.

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