Activity 3. Create a Cover Letter and Resume for Big Data Jobs

Directions: After filling out the traits and skills tables, visit Penn State’s career services website. Read carefully job descriptions of big data related jobs and create a cover letter and resume for the job. These documents will be for a fictional position in the field of big data. The link for the career service tools and guidelines is: http://studentaffairs.psu.edu/career/students/resumes.shtml.  


The fictional job description is listed below:

Company: PennTech Company
Location: New York City, New York
Position: Business Data Analyst

The PennTech Company is one of the world’s largest tech publishers in the country. With millions of readers and five years of profit, PennTech Company is on a mission to make complex buying decisions easier for those looking to buy or sell technical devices including computer, mobile devices, home security gadgets, and so on.  PennTech Company is innovative, growing, and a fun place to work. Overall, we are looking for hardworking and creative individuals.

Job Description:

  • Can build data models/tables/visualizations
  • Measures self-performance by business questions answered rather than reports generated
  • Can gather detailed, actionable user requirements
  • Builds dashboards that treat UI/UX/Visualization as more than buzzwords
  • Thrives in learning new, cutting edge data functionality
  • Is a tireless self-starter and seeks out growth opportunities
  • Enjoys working with a close-knit, like-minded global team passionate about data and business problems

Requirements for Job:

  • College graduate with a major related to technology
  • Proficiency in SQL
  • Proficiency in UNIX commands (and/or Powershell)
  • Hands-on experience using “big” data components such as Hadoop
  • Proficiency in one or more DBs – SQL, MySQL,etc.
  • Strong working knowledge  in one or more programming languages – Python, R, Java, .NET, Javascript, PHP, Perl, Ruby, Scala
  • Strong working knowledge of data modeling and warehousing