Enterprise Analytics Intern

Cooper University Hospital•Camden, NJ

About The Position

Highly resourceful and data-savvy students to join our Enterprise Analytics team as interns. The enterprise Analytics team is charged with leveraging existing data resources to provide timely, accurate and actionable insights to business leaders across the organization. The interns will partner with other members of the Enterprise Analytics team to work on a variety of data analysis and visualization projects covering all facets of the healthcare delivery industry. The internship will give you the opportunity to work on “real world” problems and enable you to sharpen your skills in exploratory data analysis, data visualization and advanced analytics. You will be involved in the entire lifecycle of project delivery and will have the opportunity to work with business leaders to define the problems and communicate the outcomes. You will have a flexible schedule, dedicating up to 40 hours a week to project work.

Requirements

  • Currently pursuing a Master’s or Bachelor's (senior) degree in Business Analytics, Computer Science or other closely related quantitative field with GPA of at least 3.4
  • Highly proficient in the use Tableau version 2018.x or 2019.x for data visualization
  • Highly proficient in Microsoft Office Suite (Word, Excel, and PowerPoint)
  • Passionate about using data to inform decision making and possess the curiosity to research and solve complex problems involving data and business analytics
  • A quick learner who is willing to learn and work in a team in a fast-paced environment
  • Legally authorized to work in the United States of America

Nice To Haves

  • Experience in using some advanced analytical tools (SQL /R /Python) is preferred

Responsibilities

  • Partner with other members of the Enterprise Analytics team to work on a variety of data analysis and visualization projects covering all facets of the healthcare delivery industry.
  • Work on “real world” problems and enable sharpening of skills in exploratory data analysis, data visualization and advanced analytics.
  • Be involved in the entire lifecycle of project delivery.
  • Work with business leaders to define the problems and communicate the outcomes.

Benefits

  • health, dental, vision, life, disability, and retirement
  • attractive working conditions
  • opportunities for career growth through professional development
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