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Data Analytics Intern

CHS Inc.
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Summary

CHS has an exciting opportunity in our Global Grain & Processing group. We are looking for a Data Analytics Intern to help support a variety projects that will range in scale and complexity. You’ll have the opportunity to develop your skills by learning from and collaborating with a talented team of business and IT professionals.

Responsibilities

As a Data Analytics Intern, your assignments may include, but are not limited to:
  • Work closely with data scientists and analysts to design and develop data cubes in our Power BI business information tools to report key business information.
  • Participate in engagement and discovery sessions between data scientists and data analyst to identify problems/gaps as well as innovation opportunities that can be solved with data analytics.
  • Participate in the design of dashboards for business intelligence.
  • Research and test solutions in a POC (proof of concept) scale to operationalize the outcomes and validate the results in the real-world.
  • Become a part of a successful, dynamic team using standard Lean & Agile processes to deliver quality and timely results to internal customers.
  • Be encouraged and expected to innovate and be creative in your data analysis, problem solving and presentation of solutions.
  • Potential for RPA work.

Minimum Qualifications (required)

  • Currently enrolled in in Business Analytics, Mathematics, Economics, Physics, Computer Science, Engineering, or similar degree program at an accredited institution, entering junior or senior year, or recent graduate.
  • 0-1+ years of experience with the following:
  • Data visualization tools – e.g. Power BI or Office 365
  • Working knowledge or experience with SQL
  • Excellent communication skills, customer focus, strong analytical and problem-solving skills, self-motivated with confirmed leadership abilities, presentation skills and be able to function in a team-oriented environment with resource and time constraints.
  • A passion for customers, engineering and product quality

Additional Qualifications

  • Training/Experience with the following:
  • Database management technologies in the data analytics context
  • Data analytics/science areas, such as time series analysis, forecasting, classification and regression analysis
  • Python
  • RPA
  • LEAN and/or Agile concepts/methodologies