Clean Energy Access Research Fellow – Data Analyst at CLASP

The Fellow will be responsible for a variety of internal and external facing research activities including, but not limited:


Supporting Clean Energy Access initiative through data analytics and research focused on of productive Use of Energy (PUE) Appliances
Developing and refining PUE appliance market sizing models for selected African markets, in collaboration with the data scientist.
Analysing sales and performance data of partner PUE appliances
Co-leading data collection, management and analysis of ongoing and upcoming Productive Use of Renewable Energy Demonstrators (PURE DEMO)
Designing, developing and maintaining dashboards and data visualization for the consumer impact study, PURE DEMO and other CLASP projects
Data synthesis from internal CLASP databases and relevant external repositories to support research and decision making.
In collaboration with the LEIA research lead, Monitoring, Evaluation and Learning lead, and the data scientist, develop data modelling tool to simulate efficient appliance access and associated impacts.


The Ideal Candidate

Desired Education and Experience


Recent master's degree (preferred- up to 3 years) in Data Analytics, Statistics, Economics, Engineering, Computer Science, Energy Systems, Development Studies, a related quantitative field and or a research-based Bachelor's degree (required) in the said fields with 3 years of relevant professional experience
Demonstrated experience in data analysis tools and visualization software (e.g., Tableau, Power BI, Python libraries like Matplotlib/Seaborn, or R's ggplot2).
Academic or practical training in data analysis, research methods, and statistical modeling.
Coursework or demonstrated experience related to energy access, clean energy, international development, or African markets is highly desirable.
Understanding of clean energy access, Productive Use of Energy (PUE), or renewable energy technologies is an asset.
Strong work ethic and an ability to take the initiative; a drive to learn and grow on the job
Excellent oral and written communication skills; proven ability to write clearly and concisely
Ability to synthesize data and analysis to inform strategy and recommendations
Professional demeanor, including the ability to comport in a diverse, international work environment
Intellectual agility and a commitment to professional development