Data Intern

Dutystation: Vienna, Austria

Functional responsibilities

a. Data Curation and Management

• Support research activities for the development and maintenance of project indicators and data management tools.

• Assist with the curation and integration of diverse primary and secondary data sources into a database or data platform, under the guidance of the team.

• Support data gathering through surveys, remote metering data, and stakeholder inputs.

• Conduct desk research on SDG7-related topics such as energy finance, electricity access, clean cooking, sustainable cooling, renewable energy and energy efficiency.

• Maintain and update data collection tools (e.g., survey forms) and help validate incoming data to support annual monitoring, reporting, and market analyses.

• Contribute to exploring best practices for managing structured data platforms in collaboration with the Intelligence Unit.

b. Data Processing, Analysis and Visualization

• Assist with data processing tasks, including cleaning, foundational preprocessing, structuring, and organizing datasets for economic and technical analysis (e.g., cost-benefit, value-for-money, techno-economic studies) as guided by the team.

• Support simple statistical analysis to help identify trends and patterns in the data.

• Assist in the preparation of clear and engaging data visualizations contributing to project dashboards and presentations.

• Support the documentation of data workflows, methodologies, and analytical procedures to enable knowledge transfer.

c. Evidence and Knowledge Products

• Use research tools, including AI tools where relevant, to prepare short intelligence briefs on relevant topics.

• Compile technical guidance materials and contribute to internal knowledge sharing.

• Assist in drafting analytical summaries and evidence-based insights for technical and progress reports.

• Integrate analysis and data visualization into reports, presentations and other communications materials.

d. Documentation and Knowledge Management

• Support the documentation of data workflows and analytical procedures, under guidance, to facilitate knowledge transfer.

• Assist in compiling technical guidance materials and contribute to internal knowledge sharing.

• Assist in preparing stakeholder maps and background briefs on relevant institutions, projects, or activities.

Learning Objectives

This internship provides hands-on experience and growth opportunities in the following areas:

• Development of basic data processing and analysis skills through hands-on support in cleaning, integrating, and preparing data for analysis and reporting.

• Exposure to structured data management concepts platforms, with opportunities to assist in organizing and maintaining datasets and surveys.

• Familiarization with documentation and knowledge management practices, contributing to the preparation of clear, replicable data processes and supporting learning activities.

• Applied data analysis techniques, including assisting with the preparation of dashboards, visualizations, and simple statistical summaries to support programmatic insights.

• Building evidence-based engagement strategies to support effective advocacy and capacity building.

• Strengthening of communication and coordination skills through collaboration with SEforALL teams and external partners in a multi-stakeholder environment.

• Understanding of multilateral and member-state driven processes, including setting expectations, conducting due diligence and responding to unexpected changes.

• Exposure to a diverse range of stakeholders through the activities with emerging and developed economies with a range of priorities and modes of engagement.

Education/Experience/Language requirements

• Currently enrolled in or recently completed (within the last three years) a Bachelor's degree, Master’s degree or PhD preferably in Data Science, Statistics, Computer Science, Engineering, Environmental Science, Economics, Public Policy, or another relevant field.

• Applicants are not required to have prior work experience, however prior experience in managing, cleaning, and analyzing structured datasets, preferably in an applied development or energy-related context is considered an asset.
• Prior exposure to data processing, statistical analysis, and data visualization (e.g. Excel, Python, R, Power BI, SQL, or similar tools) is an asset.
• Experience working with development organizations, government agencies, or research institutions on clean energy or energy access projects is desirable.
• Experience communicating with various stakeholders such as government, businesses, civil society groups and international organizations on matters related to sustainable energy is desirable.

• Fluency in English is required.