Senior Impact Analyst

Global - Remote Workfull time

Remote

senior

H1B: no

Enveritas The Senior Impact Analyst identifies, designs, and drives interventions to improve outcomes for smallholder farmers and their communities. The role involves research, analysis, program management, and significant time spent in smallholder communities across multiple regions.

Responsibilities

As a Senior Analyst, you will identify, design, and drive interventions that improve outcomes for smallholder farmers and their communities. In practice, that means:
Researching, analyzing, and quantifying the potential of solutions to sustainability challenges — with rigor, accountability, and a view to practical testing
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 — to stay close to the work and the people it is designed to serve.
Collaborating across the organization and with external partners and stakeholders to build the credibility and relationships that make change possible

Qualification

We’ve hired people from McKinseyYou likely have 2-6 years of experienceMotivated by the mission

Required

We’ve hired people from McKinsey, from tech, from trading floors — what they share is intellectual rigor, operational drive, speed of execution and a genuine reason for being in this sector.
You likely have 2-6 years of experience, including:
At least 2 years in a high-intensity environment: strategy consulting, finance/PE, a VC-backed start-up, or similar — where you’ve worked hard, been held to a high standard, and delivered results under pressure
A university degree in science or engineering (preferred), and ideally 1–3 additional years of experience in a domain relevant to the role
Strong quantitative and analytical skills; familiarity with large datasets; some knowledge of basic statistics and the scientific method; comfort with R, Python (including, increasingly, the ability to use AI tools to code and automate analyses). A background in quantitative scientific research is an advantage
The ability to structure complex problems and communicate them clearly and succinctly — whether in a results deck, a partner meeting, or a conversation in the field
A ruthlessly positive attitude — the kind that lets you aim high, absorb setbacks, and keep moving when things don’t go to plan
Motivated by the mission, making the deliberate choice to pursue it
Genuine appetite for fieldwork and the adaptability it demands