Jobs at Strathmore Business School

JOB PURPOSE:

The Data Analyst is responsible for collecting, cleaning, organizing, and analysing data to support SAFIC’s research initiatives, innovation programs, and stakeholder engagements. The role ensures high data quality, produces clear visualizations, and delivers actionable insights that inform evidence-based decisions in agriculture and agribusiness

MAIN DUTIES AND RESPONSIBILITIES:
Data Collection and Management

• Collect, clean, validate, and manage datasets from diverse sources, including surveys, partners, and digital platforms.
• Support the development of data pipelines and data management workflows.
• Ensure high data quality and adherence to data governance and metadata standards.

Data Analysis and Insight Generation

• Conduct descriptive and diagnostic analyses to generate insights for SAFIC projects and partners.
• Work closely with Data Scientists to support model development, feature engineering, and dataset preparation.

Data Visualization and Communication

• Develop dashboards, infographics, and visualization tools to communicate data trends and analytical findings.
• Assist in preparing reports, briefs, and presentations for internal and external stakeholders.

Collaboration and Stakeholder Engagement

• Collaborate with internal teams and partners to support data-driven initiatives.
• Participate in field data activities and partner engagements when necessary.

JOB REQUIREMENTS:

• The post holder will be required to have and demonstrate evidence of the following qualifications, attributes, and skills:
• Masters’s Degree in Data Analytics, Statistics, Computer Science, Mathematics, Economics, or related fields.
• 3-5 years of post masters experience in Data Analysis, Business Intelligence, or Monitoring and Evaluation.
• Proficiency in Excel, SQL, and at least one analytical or visualization tool (Power BI, Tableau, R, Python).
• Strong data cleaning, wrangling and visualization skills.
• Ability to produce clear, accurate and compelling data presentations.
• Experience in computer science and working with agricultural or socioeconomic data is an added advantage.

Key Competencies and Skills:

• Strong analytical and quantitative skills.
• Detail-oriented with a high commitment to data quality and accuracy.
• Ability to work collaboratively within a technical team.
• Good communication skills for presenting data insights.
• Proactive, organized, and able to manage multiple tasks.
• Commitment to ethical data practices and SAFIC’s mission to transform African agriculture.

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JOB PURPOSE:

The Data Scientist supports SAFIC’s research and innovation agenda by developing analytical models, performing advanced data analyses, and generating insights that inform policy, investment, and agribusiness decision-making. This role contributes to the design and deployment of data-driven solutions that enhance productivity, sustainability, and innovation within Africa’s agri-food systems.

MAIN DUTIES AND RESPONSIBILITIES:
Data Analysis and Modeling

• Develop, validate and implement machine learning and statistical models for structured and unstructured data.
• Analyze large and complex datasets to identify trends, patterns, and predictive insights.
• Refine and optimize models to improve accuracy, reliability, and scalability.
• Apply appropriate methodologies to address sector-specific challenges, particularly in agriculture.

 Policy and Strategy Support

• Support data analytics projects that generate evidence for policymaking and business decision-making.
• Interpret analytical results and provide clear, data-driven recommendations.
• Align analytical outputs with the needs of policymakers, researchers, and private sector stakeholders.

Stakeholder Engagement and Coordination

• Collaborate with government agencies, research institutions, and industry partners on data initiatives.
• Support co-creation of analytics solutions that respond to real-world agricultural data challenges.
• Communicate technical concepts effectively to non-technical stakeholders.

 Digital Solutions and Analytics Tools

• Contributes to the design and development of interactive dashboards and digital analytics tools.
• Ensure usability, clarity and relevance of data visualizations for diverse audiences.
• Support the deployment and continuous improvement of analytics platforms.

Research Outputs and Dissemination

• Develop clear visualizations and summaries to communicate insights to technical and non-technical audiences.
• Contribute to knowledge products and publications aligned with organizational objectives.

Data Governance, Quality and Ethics

• Adhere to data governance frameworks and best practices in data management.
• Apply ethical AI principles, ensuring transparency, fairness, and accountability in models.
• Maintain data integrity, security and compliance with relevant standards and policies.

Analytics Excellence and Innovation

• Work closely with the Principal Lead Data Scientist to refine analytical methodologies.
• Support performance evaluation and scaling of analytics solutions.
• Contribute to knowledge sharing, documentation, and continuous improvement within the team.

JOB REQUIREMENTS:

The post holder will be required to have and demonstrate evidence of the following qualifications, attributes, and skills:

• Master’s Degree in Data Science, Statistics, Computer Science, AI, Agricultural Informatics, or a related field.
• 3+ years of experience in data science, analytics, or applied research. Experience working
• with agricultural, environmental, economic, or geospatial datasets is an added advantage.
• Strong expertise in machine learning, predictive analytics, and data modelling.
• Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
• Demonstrated ability to analyse large datasets and derive actionable insights.

Key Competencies and Skills:

• Solid technical understanding of data science methodologies and AI/ML techniques.
• Ability to translate analytical outputs into clear, user-friendly insights.
• Strong problem-solving skills and analytical thinking.
• Effective collaboration skills and ability to work with multidisciplinary teams.
• Excellent communication skills for both technical and non-technical audiences.
• Commitment to ethical data use, governance principles, and agricultural transformation.