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Enveritas

Senior Impact Analyst

Posted 24 Days Ago
Remote
7 Locations
Mid level
Remote
7 Locations
Mid level
The Senior Impact Analyst role at Enveritas involves researching, analyzing, and quantifying solutions to sustainability issues in agricultural supply chains, managing impact projects, and collaborating with internal and external stakeholders to improve smallholder farmer livelihoods. The position requires 3-5 years of experience in strategy consulting or finance, proficiency in quantitative data analysis, and the ability to travel internationally to visit projects in coffee origins.
The summary above was generated by AI

Enveritas builds solutions to improve the measure of sustainability in agricultural supply chains and include smallholder farmers in responsibly sourced agricultural products, in particular coffee and cocoa. A key component of this requires investments in projects that demonstrate impact on the sustainability of coffee and cocoa production and the livelihood of smallholder farmers

We are a non-profit with a relatively small (but expanding) team working across 26 coffee and cocoa growing countries around the world, with a remote-first environment. Enveritas brings together tech and machine learning with rigorous field processes to collect and process data on supply chain sustainability (from social and economic challenges all the way to deforestation and carbon footprints), and run programs that advance the cause of smallholder farmers. This is made possible by a dedicated and diverse team, with profiles coming from leading consultancies & banks, commodity traders, development organizations, data science, and tech companies.

We are looking for exceptional talent to join our Impact team, at the experienced analyst level, 2-6 years experience, with at least 2 years in management consulting, finance or other high intensity environments. Experience in one or more of the following areas is welcome, interest in these compulsory:  precision agriculture, sustainable agriculture, microfinance, carbon sequestration / emissions, improvement of farmer livelihoods. This position is remote with a home base that can be discussed.

Role: Senior Analyst (2-6 years experience)

  • Research, analyze and quantify the potential of solutions to sustainability issues identified by Enveritas
  • Assess candidate projects and ideas to invest in / fund for impact in the agricultural sector, with a focus on smallholder farmers and their communities
  • Support the launch and management of projects, including data-driven design, piloting, monitoring & evaluating, and scaling
  • Visit projects, smallholder communities and implementors, as needed, in coffee and cocoa origins
  • Interact across the organization as well as with external partners and stakeholders, as necessary, on the topic of impact projects

Requirements

  • 2 years of experience in leading strategy consulting or finance/PE firm (alternative experiences in high intensity environments may be considered)
  • University degree in science or engineering preferred
  • Some evidence of another 1-3 years of valuable experience in industry, start-ups or other organizations relevant to the role
  • Ability to work independently and balance priorities in a demanding and fast-paced environment
  • Significant travel to production areas, particularly in Sub-Saharan Africa or Asia required (having a home base in a target production country, e.g. Uganda, Ethiopia, is also a possibility)
  • Excellent analytical skills, experience with quantitative data analysis and large datasets ; knowledge of R, Python or other programming language preferred
  • Background or experience in quantitative scientific research is a plus
  • Ability to structure sophisticated problems and communicate them clearly, internally to management, and externally

Compensation is competitive for the sustainability sector. We are a multicultural organization, we look to hire employees who reflect the communities we serve and we strongly encourage qualified candidates from all backgrounds to apply.​ We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings. We work hard, focus on results, but always with enthusiasm and a positive attitude.

How to Apply

Please apply here, using Greenhouse. Should you have any questions, feel free to contact us at [email protected]. Questions about this opportunity or process will not reflect negatively on your application.

We recognize that people come with a wealth of experience and talent beyond what we list as qualifications. Your life experiences help build core competencies and knowledge that may be transferable to our openings. Therefore, we encourage people from all backgrounds to apply to our positions.

Our work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer ​encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.​

A few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted on our Greenhouse board at https://boards.greenhouse.io/enveritas. All recruiting emails from Enveritas team members will come through Greenhouse or from @enveritas.org. If you have any concerns about employment opportunities or contact from someone supposedly representing Enveritas, please reach out to us at [email protected]

Top Skills

Python
R

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