Environmental Goods Data Expert

Overview

The consultant will contribute to the closeout and legacy phase of the SMEP Programme by producing data, dashboards, and analytical products. The role aims to strengthen UNCTAD's capacity in synthesizing evidence, improving trade databases, and supporting AI-enabled innovation.

Key Responsibilities

• Support the SMEP Programme closeout stage by producing data-driven cases, visualizations, factsheets, presentations, dashboards, targeted studies, donor-facing evidence packs and knowledge products that synthesize SMEP results, lessons learned, value-addition opportunities and legacy impact.
• Develop and maintain trade-monitor dashboards for key environmental goods and services sectors.
• Compile, clean, document and analyse trade, tariff, non-tariff measure and market data relevant to environmental goods and services.
• Collaborate with UNCTAD Statistics and other relevant UNCTAD teams on the development, testing and documentation of environmental goods and services datasets and databases.
• Support bridge activities between the SMEP Programme and proposed GEF-9 programmes.
• Support value-addition activities linked to the SMEP Programme, including knowledge extraction from various reports and databases.
• Engage in and contribute to UNCTAD internal processes and substantive development through the UNCTAD AI incubator.
• Support preparation of funding proposals, project concepts, donor updates, talking points, presentations and technical briefs.
• Contribute to meetings, workshops and stakeholder engagement with UNCTAD teams, SMEP partners, donor representatives and external partners.

Required Experience

At least 3 years of progressively responsible work experience in international trade, data analysis, data visualization, financial statistics or related areas is required. Experience with AI-enabled knowledge-management workflows, local LLMs, retrieval-augmented generation, natural-language interfaces to data or responsible AI prototyping is required. Experience with trade and environment issues, environmental goods and services, circular economy, sustainable materials, oceans economy, non-plastic substitutes, textiles, seaweed value chains or pollution-reduction solutions is desirable. Experience working with trade datasets and classifications, including HS codes, UN Comtrade, UNCTADStat, tariff or non-tariff measure data, EBOPS or CPC classifications, is desirable. Experience in statistical programming and dashboard development using Python, R, Power BI, Tableau, SQL, JavaScript or equivalent tools is desirable. Experience supporting donor-funded programmes, project closeout, results reporting or funding proposal development is an asset.

Qualifications

Advanced university degree, Master, in economics, international trade, statistics, data science, environmental sciences, sustainable development, public policy, business or a related field. A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree.

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