About Food for Education 

Food for Education (F4E) is an African-led, women-led social enterprise that uses technology, smart operations and logistics to provide low-cost, high quality meals that improve nutrition and education outcomes for primary school children in Kenya.

We are growing quickly. Our mission is to scale models that prioritize efficient supply chain management and sustainable sourcing, so we can continue lowering the cost of school lunches. We have delivered over 30,000,000 meals since 2012 and are expanding to reach our goal of serving at least 1,000,000 public primary school students in Kenya every day by 2027.

Our Values 

At Food for Education, our values are guiding principles that provide us with purpose and direction and set the tone for our interactions with all stakeholders:

● Build with excellence and curiosity: We’re not afraid to try new things and iterate as much as we can to find the best and most efficient way to get results;

● Be the change you seek: We acknowledge that continuous improvement is a shared responsibility;

● We do what we say; and say what we do: We embrace an ownership mentality;

● Ask why; and commit: Share openly and question respectfully and commit fully. When we understand the why, we are able to work with a purpose.

About the Role 

We are looking for a talented and experienced Data Analyst to design, evaluate, and implement experiments that drive data-driven decision-making and growth. In this role, you will collaborate with cross-functional teams to design robust experiments, prioritize them based on business impact, resource availability, and feasibility, and ensure the successful implementation of actionable findings.

What You’ll Do 

• Experiment Design & Evaluation: Design A/B tests and other experimental frameworks to test hypotheses and evaluate new initiatives. Collaborate with cross-functional teams to define goals, metrics, and success criteria for experiments.
• Experiment Prioritization: Develop a systematic approach to prioritize experiments based on business needs, potential impact, resource constraints, and feasibility. Work closely with stakeholders to align experimental priorities with organizational goals.
•  Data Collection & Analysis: Collect, clean, and analyze data generated from experiments. Use statistical techniques to derive meaningful insights and provide actionable recommendations.
•  Stakeholder Collaboration: Communicate experiment results and insights effectively to both technical and non-technical stakeholders, ensuring findings are understood and utilized in decision-making processes.
•  Implementation & Execution: Oversee the implementation of successful experimental findings. Work closely with teams to ensure the results of experiments are properly executed and translated into real-world applications.
• Continuous Improvement: Monitor the long-term effects of implemented findings to ensure continuous improvement and refinement of business strategies. Identify areas for optimization and future experiments.
• Data Visualization & Reporting: Create and maintain dashboards to track the progress of experiments and visualize key findings. Provide regular reports on experimental outcomes and business performance.
• Documentation & Knowledge Sharing: Document the design, methodology, and results of experiments to build a knowledge base for future experiments. Ensure that successful frameworks and findings are shared across teams.

Desired Candidate Profile 

• Bachelor’s in Statistics, Economics, Data Science, or any related quantitative field.
•  3-5 years of experience as a Business Intelligence/Data Analyst, with a focus on designing and evaluating experiments.
• Proven experience in A/B testing, RCTs (Randomized Controlled Trials), and other experimental methodologies.
• Proficiency in SQL and R or Python for data analysis.
• Experience with data visualization tools like Tableau or Power BI (Tableau is preferred).
• Strong analytical and problem-solving skills, with the ability to prioritize and manage multiple experiments simultaneously.
• Excellent written, verbal, and presentation skills to communicate complex findings to diverse audiences.
• Ability to work in a fast-paced environment and manage projects across multiple teams.

We are an equal-opportunity employer 

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Career Growth and Development 

We have a strong culture of constant learning and we invest in developing our people. You will have weekly check-ins with your manager, and regular feedback on your performance. We hold career reviews every six months and set aside time to discuss your aspirations and career goals. You will have the opportunity to shape a growing organization and build a rewarding, long-term career.

Deadline: 15th October 2024

We aim to contact all our applicants, but due to the high volume of applications only shortlisted candidates are contacted. If you do not hear from us within two weeks your application might not be successful on this occasion. This does not mean you will not be considered for future roles so please keep an eye on our job board and apply for positions that match your skills and experience.

Interested applicants can apply via this link.