20 days old

IN-20019 BI Analytics Intern

WWF Washington, DC
Washington, DC 20037
  • Job Code
    115596860

Overview

World Wildlife Fund (WWF), one of the world's leading conservation organization, seeks a Analytics Intern. The candidate will use a variety of data mining/data analysis methods and tools to complete analysis of WWF's website visitors and WWF's marketing campaigns.



Responsibilities

  • Performs exploratory analysis of website data
  • Cluster analysis of sessions and pages
  • Funnel analysis of conversions
  • Exit page analysis
  • Reporting/visualization of visitor journeys
  • Modeling of Next-best action
  • Modeling of visit purpose: information/donation/action
  • Performs other duties as assigned.
<br /><strong>Overview</strong><br /><br /> <p style="margin: 0px;">World Wildlife Fund (WWF), one of the world's leading conservation organization, seeks a<span style="background-color: #ffffff;"> Analytics Intern. The c</span><span style="font-family: verdana, geneva; color: black;">andidate will use a variety of data mining/data analysis methods and tools to complete analysis of WWF's website visitors and WWF's marketing campaigns.</span></p> <p style="margin: 0px;"> </p> <br /><br /><strong>Responsibilities</strong><br /><br style="margin-bottom: .0001pt;" /> <ul style="margin-top: 0in;"> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Performs exploratory analysis of website data</span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Cluster analysis of sessions and pages</span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Funnel analysis of conversions</span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Exit page analysis</span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Reporting/visualization of visitor journeys</span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Modeling of Next-best action</span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Modeling of visit purpose: information/donation/action</span></li> </ul> <ul style="margin-top: 0in;"> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Performs other duties as assigned.</span></li> </ul> <img src="https://analytics.click2apply.net/v/JBGDe5cp6QgPHPJVfdmza"> <br/><br/><br /><strong>Qualifications</strong><br /><br /> <p style="margin-bottom: .0001pt;"> </p> <ul style="margin-top: 0in;"> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Minimum of 15-20 hours per week.</span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Business Analytics, Economics, Finance, or other quantitative field required. Master's Degree or current enrollment in Master's program is preferred. </span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Minimum of 1 years of experience performing data analysis. </span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">SAS experience (Enterprise Guide/Enterprise Miner/Viya) is required. SQL, R, Python or other programming experience is desired. </span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Decision Trees, Neural Networks, text mining, social network analysis, etc.</span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Excellent analytical skills, demonstrating the ability to create valuable strategic and financial analyses. </span></li> <li style="color: black; margin-bottom: .0001pt;"><span style="font-family: verdana, geneva;">Strong communication skills with particular emphasis on the ability to communicate effectively across teams with all levels of staff and consultants. </span></li> <li style="margin-bottom: .0001pt;"><span style="font-family: verdana, geneva; color: black;">Preferred experience visualizing data using PowerBI or SAS Visual Analytics</span></li> </ul> <p style="margin: 0px;"> </p> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><span style="font-family: verdana, geneva;"><strong>Location:</strong></span></p> <p style="margin: 0px;"><span style="font-family: verdana, geneva;">Washington, DC</span></p> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><span style="font-family: verdana, geneva;"><strong>Compensation:</strong></span></p> <p style="margin: 0px;"><span style="font-family: verdana, geneva;">Paid</span></p> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><span style="font-family: verdana, geneva;"><strong>How to apply:</strong> Please submit a resume & cover letter through our Careers page.</span></p> <p style="margin: 0px;"><span style="font-family: verdana, geneva;"><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-20019</span></strong></span></p> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><span style="font-family: verdana, geneva;"><strong><span style="text-decoration: underline;">* Please note that WWF does not provide VISA sponsorship to interns</span></strong></span></p> <p style="margin: 0px;"> </p> <p style="margin: 0px;"><span style="font-family: verdana, geneva;"><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></span></p> <p style="margin: 0px;"> </p><p>PI115596860</p>

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Posted: 2019-11-18 Expires: 2019-12-19

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IN-20019 BI Analytics Intern

WWF Washington, DC
Washington, DC 20037

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