Food Security & Impact Data Analyst (HERVEG.05)

HERVEG.05 helps women and youth farmers grow nutritious food, raise poultry, and increase income sustainably.

HERVEG.05 addresses the critical issues of malnutrition, food insecurity, and poverty in Tanzania, which ranks among the top 15 countries globally for child stunting. Smallholder farmers, who produce the majority of the country's food, frequently lack the training and tools necessary to overcome poor soil fertility and climate-driven challenges. This creates a devastating cycle of low productivity and worsening hunger that permanently affects the development of millions of children.

The solution is a practical, climate-smart pathway designed for rural realities. HERVEG.05 utilizes a "Mobile layaway" system allowing farmers to purchase seeds and poultry inputs incrementally via phone. Their model includes hands-on training and last-mile delivery of inputs directly to remote village groups. By providing "Nutri-Reach Bundles"—which combine poultry, biofortified maize, and vegetables—the startup creates a circular economy. Poultry manure improves soil, biofortified crops fight malnutrition, and improved storage reduces waste. This integrated system builds resilience against climate change while simultaneously boosting family income and health.

We’re looking for a Food Security & Impact Data Analyst to help us analyse already collected field data from our poultry and food security programme and transform it into clear, internationally credible results.

This role is for someone who can take data from raw datasets to final impact evidence, analysis, interpretation, and storytelling.

You will work on analysing Household Hunger Scale (HHS) and Coping Strategies Index (Last 7 Days) data, assess programme impact, and develop a strong proof of concept showing how our work improves food security and livelihoods.

This role is for someone who:

1. Understands how to analyse Household Hunger Scale (HHS) using FANTA / FAO / WFP methodology and can correctly score and classify hunger levels.
2. Can calculate the Reduced Coping Strategy Index (rCSI) confidently.
3. Knows how to apply severity weighting and analyse frequency × severity relationships.
4. Can interpret household food stress levels beyond simple numbers.
5. Understands emergency coping vs stress coping behaviours.
6. Clearly understands food access vs food availability dynamics.
7. Recognizes seasonal food insecurity patterns in rural communities.

Has strong experience using data analysis tools such as:

• Advanced Microsoft Excel (data cleaning, pivot tables, indicator calculations)
• SPSS, Stata, or R for statistical analysis
• Data visualization tools such as PowerPoint, Power BI, or Tableau to present findings clearly

Can clean datasets, interpret findings, and translate technical analysis into clear narratives and visuals. Has experience analysing agriculture, livelihood, or food security programmes.

Enjoys turning data into stories that donors, partners, and communities can understand. We have already completed data collection. What we need now is someone who can take the process to completion by delivering:

• A clear Narrative Impact Report.
• A simple slide-based Impact Presentation.
• A strong Proof of Concept report demonstrating programme outcomes.

If you believe data should not sit in spreadsheets but should prove real change for farmers, women, and youth, this is your space. If this sounds like you, we encourage you to apply.

Minimum Hours per Week:

10+ hours per week

Duration:

1-2 months