Senior Impact Analyst

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Logo of Enveritas

Enveritas

51 - 200 employees

Founded 2018

đŸŒŸ Agriculture

🌍 Social Impact

💰 $120k Seed Round on 2018-08

Agriculture ‱ Social Impact ‱ Environment

Enveritas is an organization focused on providing sustainability assurance for the coffee industry. They work globally with smallholder coffee farms to evaluate their social, economic, and environmental practices, visiting thousands of farms across Asia, Africa, and Latin America. By utilizing geospatial analysis and satellite imagery, Enveritas offers accuracy and efficiency in verification, while ensuring no fees are charged to farmers. Coffee roasters, not farmers, pay for these assessments, promoting inclusivity in sustainability-based export markets. Enveritas provides actionable insights for supply chain actors and policy makers, helping coffee companies make responsible sourcing claims through an independent assessment process. Their work supports environmental protection, social responsibility, and more equitable economic practices in the coffee sector.

📋 Description

‱ Identify, design, and drive interventions that improve outcomes for smallholder farmers and their communities ‱ Researching, analyzing, and quantifying the potential of solutions to sustainability challenges ‱ Assessing and developing candidate interventions and ideas across precision agriculture, sustainable livelihoods, carbon sequestration, microfinance, and related areas ‱ Leading the design, launch, and management of programs — piloting, partnering, monitoring, evaluating, and scaling what works ‱ Spending substantial time at origin, in smallholder communities across Sub-Saharan Africa, Latin America, or Asia ‱ Collaborating across the organization and with external partners and stakeholders

🎯 Requirements

‱ 2-6 years of experience ‱ At least 2 years in a high-intensity environment: strategy consulting, finance/PE, a VC-backed start-up, or similar ‱ A university degree in science or engineering (preferred) ‱ Strong quantitative and analytical skills; familiarity with large datasets; some knowledge of basic statistics and the scientific method; comfort with R, Python ‱ The ability to structure complex problems and communicate them clearly and succinctly

đŸ–ïž Benefits

‱ Compensation is competitive for the sustainability sector

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