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Data Analyst Intern

Nexus Analytica
Cairo, Egypt
Posted 4 years ago
217Applicants for3 open positions
  • 117Viewed
  • 51In Consideration
  • 64Not Selected
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Internship Details

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Internship Description

Nexus Analytica, LLC invites all highly qualified students and fresh graduates to apply for its internship program in the field of energy analytics and energy solutions. The internship duration is 3-months, upon successful induction, it may be extended to 6-months or to permanent hiring. We currently have three (3) openings for this position.

Job Description

  • Ensure data quality
  • Develop scripts for data cleaning, data quality assurance, and data analysis
  • Prepare detailed regular reports for the data workflow
  • Prepare presentable interactive dashboards

The intern will learn:

  • Opportunity to kick-start a career in one of the most highly demanded career paths of the 21st century
  • Opportunity to work with a team of internationally qualified data and energy experts in Egypt

Application Deadline: 08.02.2020

Internship Start date: Immediately

Duration: 3-months subject to renewal or permanent hiring full-time

Internship Requirements

  • Field of study: Computer Science/Engineering with emphasis on data analytics and statistics or related discipline
  • Current university students or recent graduate (earliest graduation date Summer 2019)
  • Strong academic track record (good, very good or excellent ratings)
  • Fluency in oral and written English, with very strong presentation and scientific report-writing skills
  • Extracurricular activities are a plus
  • Proficient in Microsoft Office (Word, Excel, Outlook, and PowerPoint)
  • A previous internship experience is a plus
  • Experience with a scripting language (preferably Python or R) is a plus
  • Experience with relational databases is a plus
  • Experience with a data visualization tool preferably Tableau is a plus
  • Experience with applied statistics including (Hypotheses testing, correlation analysis, regression analysis) is a plus
  • Knowledge of other statistical packages such as SPSS, STATA, SAS is a plus

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