ThriveAgric is a fast-growing agricultural technology company passionate about ensuring food security. We link farmers to capital, data-driven best practices and access to local and global markets for their commodities.
Key Purpose
- The Impact Evaluation Manager will drive data-driven decision-making by leading monitoring, evaluation, and analytics efforts for our agricultural and financial inclusion projects.
- This role focuses on collecting, analyzing, and reporting high-quality data to improve program outcomes, while managing projects and producing clear, impactful reports for stakeholders.
- The ideal candidate is a curious and analytical mid-level professional with strong data analysis skills, a knack for asking the right questions to ensure effective data collection, and the ability to manage projects and communicate insights effectively.
- This is an exciting opportunity to grow into Monitoring, Evaluation, Research, and Learning (MERL) methodologies while making a meaningful impact in agribusiness and sustainable development.
Responsibilitie
Data Analysis and Insights:
- Design Data Collection Tools: Develop and refine tools for data collection, asking strategic questions to ensure high-quality, actionable data.
- Conduct Robust Analysis: Perform quantitative and qualitative data analysis using tools like Excel, Power BI, or similar platforms to uncover insights for program improvement.
- Ensure Data Quality: Conduct data quality checks and maintain audit-ready datasets through rigorous cleaning, validation, and organization.
- Support Evaluations: Assist in coordinating baseline, midline, and end-line assessments, with opportunities to learn and apply evaluation methodologies.
Monitoring and Program Improvement:
- Develop Monitoring Plans: Create straightforward monitoring plans, including selecting key indicators and tracking progress, with guidance from senior team members.
- Identify Opportunities: Use data insights to identify bottlenecks and propose strategies to enhance project efficiency and effectiveness.
- Leverage Technology: Utilize mobile data collection tools and analytics platforms (e.g., Excel, PowerBI, or similar) to streamline data processes and reporting.
Reporting and Communication:
- Produce Clear Reports: Draft concise, impactful reports (monthly, quarterly, annual) for internal teams and external stakeholders, translating data into actionable insights.
- Collaborate on Impact Stories: Work with the communications team to create case studies and quarterly/yearly impact reports for publication on ThriveAgric’s platforms.
- Engage Stakeholders: Communicate data-driven insights to partners and stakeholders in a clear, business-friendly manner, with support from leadership.
- Share Learnings: Contribute to a learning agenda by documenting and sharing key insights to improve project outcomes.
Project Management:
- Coordinate Projects: Manage data-related projects, collaborating with cross-functional teams to meet deadlines and deliver results.
- Build Team Capacity: Provide training and support to colleagues on data collection and analysis best practices, fostering a data-driven culture.
- Maintain Databases: Oversee project databases to ensure accurate, accessible, and secure data storage.
Grants and Partnerships:
- Contribute to Partnerships: Assist in building relationships with partners by providing analytical support for research or evaluation initiatives.
Other Duties
- Miscellaneous Tasks: Perform other duties as required to support the organisation’s goals.
Anticpated Outcome of the role:
- Improved project outcomes through data-driven insights and actionable recommendations.
- Enhanced stakeholder trust through clear, high-quality reporting.
- Greater impact on Sustainable Development Goals (SDG) through projects.
- Improved project outcomes and effectiveness.
Requirements
Education:
- Bachelor’s or Master’s degree in statistics, demographics, public policy, international development, economics, or a social science-related field.
- Master’s degree or Bachelor’s plus an advanced certificate in M&E, statistics, data analytics, or economics preferred.
Experience:
- 3–5 years of experience in data analysis, business intelligence, or a related role, ideally with some exposure to project management or reporting.
- Proven ability to analyse data, create visualisations, and generate actionable insights using tools like Excel, Power BI, or similar platforms.
- Experience managing small- to medium-scale projects or collaborating with cross-functional teams.
- Familiarity with report writing or stakeholder communication is a plus.
- Exposure to agriculture, finance, or international development is beneficial but not mandatory.
- Experience in utilizing gender and social inclusion-sensitive indicators and measures.
- Knowledge of data analysis packages such as Excel, PowerBI, SPSS, Stata, SAS, and/or SQL, amongst others.
- Experience in mobile data collection software.
Professional Membership or Registration:
- Relevant professional memberships or certifications in M&E, project management, or related fields are advantageous.
Key Skills:
- Demonstrated ability to perform data quality assessments, develop or refine data collection tools, and analyze data to generate actionable insights, preferably through previous experience in analytics or reporting roles.
- Familiarity with or willingness to learn about monitoring and evaluation processes, with an emphasis on applying data to improve project outcomes.
- Curiosity about or exposure to the agricultural, financial, or technology sectors is a plus, but not required.
Skills:
The incumbent must demonstrate the following:
- Ingenuity in developing successful strategies
- Excellent analytical/problem-solving skills, including ability to query databases, sort through and clean complex data (using vlookup, table formatting, Pivot Tables, etc) and drive business decision-making.
- Experience working with project management teams and other stakeholders to deliver upon business requirements.
- Capability of working in cross-functional and cross-cultural teams, and be able to effectively communicate technically intricate concepts/results in business terms.
- Willingness to travel to project and partner locations when needed
- Excellent oral communication and interpersonal skills.
- Impeccable and effective writing and editing skills, able to take large concepts and communicate them succinctly and directly.
- Comfort with or eagerness to learn data tools (e.g., SQL, SPSS, Stata) and mobile data collection platforms to enhance analytical capabilities.
Personal Attributes:
The incumbent must have the following personal attributes:
- Passion for agribusiness, agrifinance, finance, and technology.
- Result-oriented
- Confident
- Strategic thinker
- Fast learner.
Method of Application
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