PHILIPPINES: DATA ANALYST INTERN

Please note that the deadline is based on Korean Standard Time Zone (KST, UTC+9)

INTRODUCTION TO GGGI

The Global Green Growth Institute (GGGI) is a treaty-based international, inter-governmental organization dedicated to supporting and promoting strong, inclusive and sustainable economic growth in developing countries and emerging economies. To learn more please visit about GGGI web page. 

INTRODUCTION

The Global Green Growth Institute internship program provides a unique learning opportunity for students and recent graduates from diverse academic backgrounds. The program is designed for talented and motivated individuals skilled in areas relevant to GGGI’s operations. The program allows selected candidates to gain insight into the work of the Institute and provides assistance and training in various professional fields in a multicultural environment. We encourage qualified women and men, in particular, nationals of developing countries, with diverse professional, academic, and cultural backgrounds to apply. 

CURRENT OPPORTUNITY

We are looking for a talented individual to work with the Philippines Country Team on the design of a green finance monitoring, reporting and verification (MRV) system for a local financing vehicle (LFV) under the EU–Philippines Green Economy Partnership Programme.

The LFV aims to channel sustainable finance to micro, small and medium enterprises (MSMEs) across priority green sectors, including circular economy (e.g. plastic recycling), climate-smart agriculture (e.g. biochar and organic inputs), renewable energy, energy efficiency, water management and climate adaptation initiatives. A digital platform is being developed to serve as the operational backbone for the LFV, enabling MSMEs to apply for green loans and report project performance while providing financial institutions and development partners with real-time impact data.

The intern will support the development of the KPI/MRV infrastructure of this platform, including green eligibility and impact indicators, automated data pipelines, and monitoring dashboards that can generate verifiable green finance data for use by financial institutions, corporates and development partners.

The assignment will include the followings but not limited to:

• Contribute to the design of sector-specific KPI and green eligibility frameworks for MSME loans, aligned with international sustainable finance taxonomies (e.g. IFC, ASEAN, Philippine taxonomies)
• Support the development of simplified MSME data collection protocols, including app-based forms, validation rules and basic verification requirements (e.g. document uploads)
• Develop Python/R scripts for cleaning, validating and transforming MSME-reported data into standardized green impact metrics (e.g. tCO₂e avoided, MWh generated/saved, m³ water recycled, tonnes of waste diverted)
• Assist in setting up a basic spatial and DNSH (Do No Significant Harm) tagging system, aligned with GGGI’s Environmental and Social Safeguards System, using publicly available hazard and location data at municipality level, to strengthen the credibility of green data
• Contribute to the design of a green performance scoring approach that links project eligibility, verified impact and repayment behavior to potential incentive mechanisms (e.g. interest rebates, improved terms)
• Support the preparation of a prototype monitoring dashboard (e.g. in Power BI or R Shiny) that aggregates loan- and portfolio-level green indicators and can be used as the basis for a premium SaaS reporting productHelp draft technical notes, user manuals and training materials documenting methodologies, assumptions and operational procedures for use by programme staff and financial institution partners

ELIGIBILITY                                     

Applicants to the GGGI internship program must at the time of application meet the following requirements:

• Be enrolled in a Bachelor’s (final year), Master’s, or PhD program prior to internship assignment, or be a recent graduate within the last 12 months.
• Be engaged or recently engaged in academic study in a field relevant to green economy, economics, data analytics/science, finance, public policy, or related areas.
• Possess an excellent command of English.

QUALIFICATION

• Strong quantitative analysis skills (econometrics, program evaluation, or equivalent).
• Proficiency in Python and/or R for data cleaning, analysis, and reproducible outputs.
• Working knowledge of SQL and data structuring principles.
• Ability to translate complex frameworks into simple, auditable templates and guidance notes.

SELECTION PROCESS

• Applications submitted after the deadline will not be considered.
• GGGI evaluates applications based on: eligibility requirements, relevance of academic study and work experience (if any); and the level of interest and motivation to contribute to development work.
• Due to high volume of applications, only shortlisted candidates will be contacted.
• Dashboarding experience (e.g., Power BI).
• Familiarity with sustainable finance concepts (taxonomies, MRV, ESG/green indicators) and/or SME/impact finance.
• Exposure to spatial data concepts (optional).

IMPORTANT INFORMATION

• Duration: The internship program is for at least three months and up to six months. Once selected, interns must begin your internship either prior to or within 12 months of graduation. 
• Stipend: GGGI interns receive a monthly stipend of USD $500 per month (unless agreed to be funded by sponsoring institutions). All costs related to travel, insurance, accommodation, and living expenses must be borne by either the interns themselves or sponsoring institutions.  
• Visa: GGGI will provide a supporting letter for visa. Interns will be responsible for obtaining and financing the necessary visas.  
• Travel: Intern will arrange and finance their travel to the internship location.  
• Medical Insurance: Interns must present proof of valid medical insurance to GGGI upon returning the signed internship contract.
• Confidentiality: Interns must keep confidential any and all unpublished information obtained during the course of the internship and may not publish any documents based on such information.  
• Academic Credit: Interns may get academic credit from their institution of higher education for the internship. Interns need to check with their university to confirm their academic credit policy for internships.  
• Working Hours: interns are expected to work during normal working hours. Leave should be pre-approved by the Intern Manager, and the latter should inform the Office of HR accordingly.
• Learning Outcomes: before completion of the internship, Intern Managers are expected to review the learning outcomes with the intern.
• Certificate: provided upon successful completion of the internship, upon request.