Data and Impact Analyst Officer

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Company Details
Industry: Farming
Description: What we do Our proven approach brings smallholder farmers together to learn new skills and share knowledge so they can improve their livelihoods and thrive. Farmers working alongside Ripple Effect learn more, grow more and sell more. They can feed their families nutritious food, and by having a surplus to sell can invest in their farms, send their children to school and build sustainable agri-businesses. We have already worked with 2.5 million people, and our target is to reach another 5 million by 2030. We are on course to reach our 2030 targets to engage project participants who are: 67% women farmers 15% living with a disability (or a family member) 20% young people (age 15-30) 8% living with HIV / AIDS
Job Description

The Data and Impact Analyst Officer will play a pivotal role in transforming raw project data into meaningful, actionable insights that support programming, demonstrate impact, and enable evidence-based decision-making across Ripple Effect. 

 

This role strengthens the organization’s ability to collect, manage, analyze, and visualize high-quality data across countries and thematic areas. They will manage our SQL database leveraging tools such as dbt, Power BI, and survey platforms like Activity Info and Akvoflow. The Officer will lead the design of ELT (Extract, Load, Transform) processes and dashboards that ensure data is accurate, secure, timely, and accessible.

 

About You

 

Bachelor’s degree in a relevant field such as: Data Science, Computer Science, Statistics, Economics, Information Systems, or Monitoring and Evaluation.

 

Equivalent professional experience may substitute formal academic qualifications. 

 

Minimum 3 years of professional experience in data analysis, transformation, and reporting in development or humanitarian contexts. 

 

Strong experience in: 

 

SQL and relational database querying.

 

ELT tools such as dbt.

 

Data visualization using Power BI, Tableau, or Google Data Studio.

 

Analytical software like Excel, SPSS, STATA, or R.

 

Familiarity with digital data collection platforms such as Kobo, Akvo Flow, or Activity Info. 

 

 

 

Education: Degree, Diploma
Employment Type: Full Time

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