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Data Analyst at DelAgua

--Powermax General Electrical Merchants Ltd--

Job Description

Today over 2 million stoves have been distributed, transforming over 8 million lives and delivering long-term behaviour change as well as multiple, measurable impacts for people and the environment. This is the largest clean cooking programme of its kind in the world with operations in Rwanda, The Gambia and Sierra Leone. DelAgua exclusively targets rural communities who are otherwise unable to afford the transition to clean cooking. Following this success, DelAgua is currently undergoing a significant expansion of our projects across sub-Saharan Africa, with the stated aim of increasing access to clean cooking for rural communities.

DelAgua is seeking a detail-oriented Data Analyst to play a key role in our Business Intelligence team. This position will work under the guidance of the Director of Data and Training to implement our ambitious Data strategy across multiple African countries. This role will generate business insights on large multi-level data sets, implementing advanced machine learning models to predict future behaviour based on past observable trends. With the role expected to play a key role in DelAgua’s continued place at the cutting edge of the carbon credit sector within Africa.

Job Industry

ICT / Computer, Data, Business Analysis and AI

Job Salary Currency

Job Salary Fixed

No

Key Deliverables

  • Data Management & Preparation: Collect, clean, and preprocess large datasets from multiple sources including spatial and geographic data to ensure data quality and readiness for analysis and model development.
  • Model Development & Implementation: Design, build, and deploy machine learning models to solve business problems such as forecasting, classification, and pattern recognition, including spatial modelling and geospatial predictions.
  • Analysis & Insights: Analyse complex datasets using statistical methods and machine learning techniques to identify trends, patterns, and actionable insights that drive business decisions.
  • Geospatial Analysis & Integration: Integrate GIS tools and spatial analysis techniques into data workflows to enhance offerings with location-based insights, perform spatial clustering, and develop geographically informed predictive models.
  • Model Performance & Optimization: Monitor model performance in production environments, conduct A/B testing, and continuously refine algorithms to improve accuracy and efficiency.
  • Reporting & Visualization: Contribute data to dashboards, reports, and data visualizations including interactive maps and spatial visualizations to communicate complex analytical results and model outputs to both technical and non-technical audiences.
  • Research & Innovation: Stay current with the latest machine learning techniques, GIS technologies, and industry best practices, and evaluate new approaches for potential implementation.
  • Other tasks as assigned by the COO or wider DelAgua management

Essential Qualities

Essential Qualities
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Geography, Geographic Information Systems, or a related quantitative field (Master's degree preferred).
  • Proficiency in Python and/or R for data analysis and machine learning model development.
  • Strong understanding of machine learning algorithms including supervised and unsupervised learning, regression, classification, clustering, and ensemble methods.
  • Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, or similar tools.
  • Hands-on experience with GIS software such as ArcGIS, QGIS, or similar platforms.
  • Proficiency with geospatial libraries and tools like GeoPandas, Shapely, Folium, or ArcPy.
  • Understanding of spatial data formats, coordinate systems, and cartographic principles.
  • Strong SQL skills and experience working with relational databases and data warehouses.
  • Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Plotly.
  • Ability to handle large datasets and perform ETL (Extract, Transform, Load) processes.
  • Solid foundation in statistics, hypothesis testing, and experimental design.
  • Strong problem-solving skills with the ability to translate business questions into analytical approaches.
  • 2-4 years of experience in data analysis, machine learning, or related roles
  • Demonstrated experience applying machine learning to real-world business problems.
  • Portfolio or examples of previous work with spatial analysis or GIS projects is a plus.

Application Process

Close Date

14/11/2025

Apply Now!