Junior Data Analyst Papua New Guinea at Enveritas

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Junior Data Analyst Papua New Guinea Enveritas. 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.. . Summary:. . We are looking for a Junior Data Analyst to join our team. The Junior Data Analyst will be managing, analyzing, and cleaning data on a real-time basis, providing feedback to field teams, and collaborating with members of the Enveritas’ team. The Junior Data Analyst will also perform ad-hoc data analysis to monitor the quality of surveys and help manage and coordinate field team logistics, primarily in Papua New Guinea. This person will mainly help operational work in Papua New Guinea and can generate and execute on new opportunities in the region, in other countries.. . What you'll do:. . . Lead the day-to-day, end-to-end data quality process in multiple countries, primarily in Papua New Guinea:. . Customize our surveys (e.g., smallholder, estate) for the country. . Train enumerator teams on data collection methodology and tools; create/review retraining documents and sessions where needed. . Generate and analyze daily quality control reports from survey data. . Review daily and weekly quality control reports, and communicate with field teams to correct mistakes and improve data quality. . Monitor data quality collected on a daily basis, and report results to Data and Insights manager. . Identify and solve survey or logistical issues during survey collection. . Conduct data analyses, and support insights generation and reporting. . . . Coordinate the work of field survey teams alongside the Operations Manager; this includes travel 10-20% of the year. . Conduct research, data analysis projects, and engage with local & regional stakeholders to better understand coffee industry dynamics, especially for Papua New Guinea. . Test, design and improve Data Quality tools and survey questionnaires using smartphones. . Support and implement special projects and other ad hoc requests, especially in Papua New Guinea. . Other duties as assigned. . . . Occupational/Technical Skills. . . Data-driven: Experience managing and conducting quantitative and qualitative research, with strong data quality management knowledge, is highly desirable. . Detail-oriented: High attention to detail, able to help field teams improve data quality. . Computer skills: Proficiency in Microsoft Office and Google Docs applications, and familiar with quantitative data collection software/platforms. Knowledge of programming languages (Python) and geographic information systems (GIS) applications such as QGIS, Google Earth are beneficial, but not required.. . . Requirements:. . . Education: Bachelor degree in the field of development studies, statistics, plant science, agriculture, community development, environmental development, agribusiness, or other relevant disciplines.. . Experience: 1+years experience in agriculture sectors (experience in coffee industry is highly desirable). . Other soft skills: Flexible problem-solving attitude, clear track record of working in a fast-paced, multicultural environment. . Languages: Fluency in English and. at least. speaking one of the local languages (Tok Pisin, Hiri Motu). . Attitudes: Strong work ethic and professionalism, particularly when doing independent and remote work, eagerness to learn, careful and highly responsible person.. . . How to Apply. . Please apply here. Feel free to contact us at. [email protected]. 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. 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]. Please mention the word **RELIABLE** and tag RMTA0LjE1NC4yMDcuNTI= when applying to show you read the job post completely (#RMTA0LjE1NC4yMDcuNTI=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human..