12 days old

IN-20007 Food Waste Data Analyst Intern

WWF Washington, DC
Washington, DC 20037
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  • Job Code
    113492376

Overview

World Wildlife Fund (WWF), the world's leading conservation organization, seeks a Food Waste Data Analyst Intern.

The production and consumption of food constitutes the biggest environmental threat to our planet. Eliminating waste and shifting consumption patterns represents our biggest opportunity to establish sustainable and regenerative food systems. Addressing food waste is critical – from field - to fork - to landfill. WWF's Food Waste program is focused on institutional engagement and behavior change with private and public-sector partners. Our goal is to increase the speed and scale of solutions that make a more sustainable future possible. We accomplish this by convening science-based, multi-stakeholder groups to build awareness and consensus around urgent issues and trends and develop approaches to advance innovation and accelerate change at scale. This internship provides an opportunity for an undergraduate student to learn more about environmental sustainability, specifically food waste prevention and recovery, by working on an initiative that is focused on analyzing global solutions related to food system efficiency and consumption.

This internship will work directly with the Director and the Senior Program Officer of the Food Waste program and will support ongoing research efforts and in-depth data analysis, with specific focus on the hospitality industry and the food retailing industry. This position will be a great educational experience and may help pilot interventions with private sector partners that attempt to find food waste prevention best practices.



Responsibilities

Internship Description:

Specific duties will include:

  • Analyze data from multiple sources including food costs, sales data (POS), waste disposal, composting, anaerobic digestion, and weights & measures from food waste pilot programs.
  • Develop analyses and create reports and provide insights for the Food Waste team.
  • Data collection, entry, blending, management, analysis, and visualization.
<br /><strong>Overview</strong><br /><br /> <p style="margin: 0px;">World Wildlife Fund (WWF), the world's leading conservation organization, seeks a <span style="color: black; font-family: 'Arial',sans-serif; font-size: 10pt;">Food Waste Data Analyst Intern.</span></p> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><span style="color: black; font-family: 'Arial',sans-serif; font-size: 10pt;">The production and consumption of food constitutes the biggest environmental threat to our planet. Eliminating waste and shifting consumption patterns represents our biggest opportunity to establish sustainable and regenerative food systems. Addressing food waste is critical from field - to fork - to landfill. WWF's Food Waste program is focused on institutional engagement and behavior change with private and public-sector partners. Our goal is to increase the speed and scale of solutions that make a more sustainable future possible. We accomplish this by convening science-based, multi-stakeholder groups to build awareness and consensus around urgent issues and trends and develop approaches to advance innovation and accelerate change at scale. This internship provides an opportunity for an undergraduate student to learn more about environmental sustainability, specifically food waste prevention and recovery, by working on an initiative that is focused on analyzing global solutions related to food system efficiency and consumption. </span></p> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><span style="color: black; font-family: 'Arial',sans-serif; font-size: 10pt;">This internship will work directly with the Director and the Senior Program Officer of the Food Waste program and will support ongoing research efforts and in-depth data analysis, with specific focus on the hospitality industry and the food retailing industry. This position will be a great educational experience and may help pilot interventions with private sector partners that attempt to find food waste prevention best practices.</span></p> <p style="margin: 0px;"> </p> <br /><br /><strong>Responsibilities</strong><br /><br style="margin: 0px;" /><strong>Internship Description:</strong> <p style="margin: 0px;"><strong><span style="color: black; font-family: 'Arial',sans-serif; font-size: 10pt;">Specific duties will include</span></strong><span style="color: black; font-family: 'Arial',sans-serif; font-size: 10pt;">:</span></p> <ul style="margin-top: 0in;"> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">Analyze data from multiple sources including food costs, sales data (POS), waste disposal, composting, anaerobic digestion, and weights & measures from food waste pilot programs.</span></li> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">Develop analyses and create reports and provide insights for the Food Waste team.</span></li> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">Data collection, entry, blending, management, analysis, and visualization.</span></li> </ul> <img src="https://analytics.click2apply.net/v/PdgVNrUQxY28IMNmTnwXl"> <br/><br/><br /><strong>Qualifications</strong><br /><br /> <p style="margin: 0px;"><strong>Minimum Requirements:</strong></p> <p style="margin: 0px;"><strong><span style="color: black; font-family: 'Arial',sans-serif; font-size: 10pt;">Qualifications: </span></strong></p> <ul style="margin-top: 0in;"> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">Current undergraduate student</span></li> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">Able to commit to 10-25 hours/week for 3 months</span></li> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">Must have extremely strong proficiency in MS Excel, PivotTables, data analysis, and creating visual data presentations.</span></li> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">Tableau, MS PowerBI, D3.js/AngularJS, or other visualization experience preferred.</span></li> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">R or Python data manipulation experience preferred.</span></li> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">Proactive and creative problem-solving; good communication skills (written and verbal);</span></li> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">Strong research, and analytical skills, as well as attention to detail are obligatory;</span></li> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">Ability to work productively on both independent research assignments and as part of a team;</span></li> <li style="color: black;"><span style="font-family: 'Arial',sans-serif; font-size: 10pt;">Fluency in English is required.</span></li> </ul> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><strong>Location:</strong></p> <p style="margin: 0px;">Washington, DC</p> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><strong>Compensation:</strong></p> <p style="margin: 0px;">Paid</p> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><strong>How to apply:</strong> Please submit a resume & cover letter through our Careers page.</p> <p style="margin: 0px;"><a href="http://www.worldwildlife.org/about/careers" target="_blank" rel="noopener">https://careers-wwfus.icims.com/jobs/search</a> , <strong><span style="background-color: #ffff00;">IN-20007</span></strong></p> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><strong><span style="text-decoration: underline;">* Please note that WWF does not provide VISA sponsorship to interns</span></strong></p> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><strong>As an EOE/AA employer, WWF will not discriminate in its employment practices due to an applicant's </strong><strong>race, color, religion, sex, national origin, age, marital status, genetic information, sexual orientation, gender identity and expression, disability, or protected Veteran status.</strong></p> <p style="margin: 0px;"> </p><p>PI113492376</p>
Posted: 2019-09-06 Expires: 2019-10-08

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IN-20007 Food Waste Data Analyst Intern

WWF Washington, DC
Washington, DC 20037

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