• Apoiar a construção e manutenção de pipelines de dados (ETL/ELT); • Realizar consultas, análises e manipulação de dados utilizando SQL; • Desenvolver scripts em Python para tratamento, transformação e integração de dados; • Consumir APIs para integração de informações entre sistemas; • Apoiar iniciativas de organização, padronização e qualidade de dados; • Trabalhar em conjunto com times de dados, tecnologia e negócio na construção de soluções analíticas; • Utilizar versionamento de código e aplicar boas práticas de desenvolvimento.

• Conduct problem research and deep-dive analysis, applying advanced analytics and ML techniques. • Design and implement experiments influencing customer experience. • Build scalable reporting and machine learning models for self-serve access to insights. • Mentor and inspire fellow analysts through sharing knowledge and best practices.

Role Description The economist is expected to lead the development of cost benefit analysis in the Fortifying Infrastructure for Responsible Extinguishments project within beneficiary states in Africa. - Technical Inputs: - Develop a standardized Cost–Benefit Analysis (CBA) template for transitioning to fluorine-free foam at aerodromes in Africa, including: - Current Status Assessment of Cost Benefit Analysis: - Identify current stocks, storage conditions, and disposal needs. - Document existing firefighting systems, equipment compatibility, and operational procedures. - Estimate baseline environmental and health risks associated with PFAS use. - Market Analysis: - Estimate operational expenditures (OPEX): - Training - Maintenance - Additional testing - Estimate PFAS disposal and remediation costs. - Environmental Economic Analysis: - Quantify avoided PFAS contamination and long-term environmental benefits. - Conduct cost-benefit comparison of “F3 transition” vs. “business as usual.” - Final Reporting: - Prepare a comprehensive CBA report. - Provide an executive summary tailored for decision-makers. - Submit all models, datasets, and tools in transparent, editable formats. - Develop CBA for airports in each participating country (Kenya, Egypt, South Africa, Nigeria, and Ethiopia) on transitioning to fluorine-free foam (F3). - Consult with airport staff and relevant stakeholders including foam suppliers to ensure accuracy of inputs and assumptions. - Utilize transparent and clear models relevant and useful to airport staff in the target countries. - Consult with any relevant stakeholders to ensure inclusions are relevant to and interpretable by policymakers. - Develop a practical guide and tool to adopt the fluorine-free alternatives by the airports based on the CBA report. - Performs other related duties, as required by Project Document. Qualifications - Advanced University Degree in Economics or Environmental Economics. - Experience conducting cost benefit analyses (>10 years). - Experience working in LMIC context. - Familiarity with airport firefighting operations. - Experience working in GEF projects. Requirements - Essential: English proficiency. - Desirable: Proficiency in other UN languages preferred. Benefits - Special Service Agreement (SSA) monthly fee of 11,000 USD. Company Description THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION INTERVIEW MEETING, PROCESSING OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.

• Conduct advanced data analyses to generate insights that guide business, product, and operational decisions. • Design and maintain dashboards and management reports, ensuring consistency and clarity in data visualization. • Collaborate with business and technology teams to map needs, translating requirements into data solutions. • Ensure the quality, integrity, and reliability of data sources, proposing improvements to processes and information flows. • Develop and apply analytical models to support forecasting, segmentation, and opportunity identification. • Support the evolution of a data-driven culture by promoting best practices in analysis, data usage, and performance metrics. • Work collaboratively on strategic projects, contributing critical analyses and evidence-based recommendations. • Use generative AI agents and tools to accelerate query and analysis creation, optimize exploratory investigations, and automate repetitive analytical tasks.