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Data Science Intern

broadhead.
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Data Science Intern

First and foremost, you are curious. You wonder things like, ‘What was it that drove all those video views on our client’s website yesterday, especially since our media spend was down? Why did site traffic decline last week when our new creative campaign had just launched? Is there any sort of pattern to the client’s sales results that we can to better understand the target customer?’

What you’ll do:

  • Work within a host of marketing-oriented datasets to distill website click data, organic search results, social media engagement figures and display advertising spend
  • Research a wide variety of data that may have nothing to do with actual marketing, e.g., weather data, stock prices and the Ag Economy Barometer
  • Analyze and organize these sundry data streams so that we can better identify the patterns and trends otherwise latent within them
  • Determine the sort of work that lets us forecast today’s outcomes based on what happened yesterday, and allows us to build models that better project what could happen tomorrow
  • Perform other duties as assigned

Traits for success:

  • We’re not looking for developers outright but having an understanding of how to code will do wonders for analysts in the marketing industry. From proper implementation of tracking code snippets on websites to scraping third-party sites and building scalable models, code is integral to marketing analyses. That means having experience with R, SQL and/or Python will be a plus.
  • We’re not looking for creatives outright, but a good analyst will be able to provide a clear point-of-view about how different ad messages are performing.
  • We’re not looking for media planners per se, but a good analyst will be able to provide a clear POV about how different media channels and sources are performing.
  • Finally, we’re not looking for someone whose sole previous experience has been in the advertising or marketing industry. Demonstrate that your background and skills address the above, and we’d love to talk with you!

Details:

  • This is a paid internship: $20/hour for approximately 40 hours per week in-person at our Minneapolis office
  • Interns will earn Sick and Safe Time in accruals based on hours worked
  • The Data Analytics Intern will be supervised by the Senior Analytics Manager
  • This is a 12-week internship running from Tuesday, June 3 – Thursday, August 28
  • This is an in-person internship