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Enveritas

Programs and Data Associate - Asia

Reposted 13 Days Ago
Remote
7 Locations
Junior
Remote
7 Locations
Junior
Assist Enveritas in managing verification operations and data analysis for coffee supply chains in Asia and Africa, focusing on data quality and insights.
The summary above was generated by AI

Summary

Enveritas is looking for exceptional talent to join our team and to support our operations and data analysis work in Africa and Asia, as well as some global functions.

Background

Consumers are increasingly asking if the brands they trust are “sustainable” – that is, produced under acceptable social, economic and environmental practices. Companies have responded by setting targets for becoming “100% sustainable”. However, traditional approaches for verifying sustainability face challenges reaching farmers that are too small, too remote, or informally organized. Enveritas (www.enveritas.org) is building solutions for smallholder coffee farmers that are currently beyond the reach of existing sustainability certification or verification approaches. We have developed a rigorous, scalable and transparent method of verification that works in this “underserved space.” This verification is the backbone of our Responsible Sourcing platform that helps companies meet their sustainability targets by investing in the areas that need it most.

Enveritas is a non-profit organization founded in 2016 and works in most major coffee-growing countries in the US, with a remote-first environment and hubs in diverse locations such as New York, Uganda, Ethiopia, Colombia, and Indonesia. Enveritas combines the rigor of its systems and processes with an intense effort to collect credible data from the field, accompanied by inspiring and unique stories (insights) that permit our clients to work together with stakeholders to improve the coffee grower’s livelihood. Our operations in Africa and Asia cover major commodity-growing countries such as Cote d’Ivoire, Ethiopia, Kenya, Uganda, Vietnam, and Indonesia.

The Role

Your role will be to assist Enveritas in managing verification operations and data analysis work in Asia and Africa. You will report to Enveritas’ Operations Lead in Asia. Specific responsibilities of the role include:

  • Surface the trends and insights that will help coffee roasters make data driven decisions about how they strengthen their supply chains
  • Helping to manage the data quality control process of several coffee origins in Asia and Africa
  • Supporting the management of Enveritas’ proprietary survey and data collection tools
  • Design, test, and scale new tools and SOPs to be used by Enveritas country teams in Africa and Asia
  • Support special analysis projects on a wide range of sustainability topics, such as costs of production, greenhouse gas emissions, and living income
  • Work on new initiatives in collaboration with members of the Enveritas global team, which includes program & field operations managers, data scientists, product managers, software engineers, agronomy and coffee industry experts, and multi-generational coffee farmers
  • Gain direct experience and knowledge of coffee production, through visits to coffee farming communities and meetings with industry stakeholders and local coffee organizations

 Qualifications

  • 1+ years’ relevant work experience in consulting, business, finance, quantitative research, data analysis, the coffee sector, international development, or sustainable agriculture
  • Availability for regular travels to multiple countries in Asia/Africa
  • Clear track record of working in a fast-paced, multicultural team environment
  • Excellent communication and analytical skills; flexible problem-solving attitude
  • High level of rigor and attention to detail
  • A driving desire to alleviate poverty and make the world a better place
  • Strong worth ethic and professionalism, particularly when doing independent and remote work
  • Bachelor’s degree and excellent academic record, related to development studies, economics, business, statistics, plant science, forestry, or other relevant discipline with relevant professional experience
  • Strong analytical competencies, with experience in navigating through large datasets and derive relevant insights with the use of data exploration or analysis techniques
  • Strong computer skills, including proficiency in Microsoft Office and Google Docs applications, familiarity with quantitative data collection software/platforms; knowledge of Python or other programming languages beneficial, but not required
  • Based in Asia 

How to Apply

Please apply here, using Greenhouse.

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.​

Should you have any questions about the position, the interview process, or if you require any adjustments to ensure a fair and equitable application process - you are welcome to reach out to us at [email protected] . Questions about this opportunity or process will not reflect negatively on your application.

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

Google Docs
MS Office
Python

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