You are viewing a preview of this job. Log in or register to view more details about this job.
Email

At the Kelley School of Business, we are in the business of creating career momentum. Our students have the talent to succeed, the humility to grow and the tenacity to persevere. That spirit, combined with an education that only the elite Kelley School can deliver results in graduates with the knowledge and skills needed to meet new challenges, to make positive change possible and to contribute to their organizations from day one.

 

General Purpose:

The Research Assistant (RA) position offers current IUI students the opportunity to collaborate with faculty at the Kelley School of Business in Indianapolis. This role involves supporting a research project focused on identifying factors related to safety and compliance with forklift operational standards in warehouse settings. By participating in this project, students will engage directly with real-world operational challenges faced by warehouses across the United States. 

 

Essential Duties and Responsibilities:

  • Provide research assistance inter terms of data collection and storage, and data cleaning and analysis.   
  • Assist on other projects on an as-needed basis. 

 

Responsible to: Mateus do Rego Ferreira Lima

 

Primary functions: 

Research Assistance

  • To understand the purpose of the research assignment.
  • To understand how to complete the assignment, understand the expectations.
  • To complete assignments in a timely basis.
  • To prepare appropriate and thorough documentation as indicated by the faculty.
  • To provide feedback to faculty on progress and any issues related to completing the assignment.

 

 

Qualifications:

Required:

  • Must be reliable and able to manage time to work on multiple assignments.
  • Sufficient interpersonal skills for working in groups.
  • Must be able to maintain confidentiality. A binding Non-Disclosure Agreement with the corporate sponsor will be proffered and must be signed/adhered to.
  • Must be courteous, prompt, and completely dependable.
  • Strong data science and analytical skills, including proficiency in machine learning and exploratory data analysis, are required.
  • Proficiency in R and/or Python is essential, with a preference for experience in both, along with a solid understanding of Microsoft Office Suite programs. 
  • Must be capable of effectively working and collaborating in a Zoom environment. 
  • Ability to work independently and meet deadlines is crucial.

 

Preferred:

  • Either a KSBI EMBA or IUI Computer and Information Science graduate student.
  • Have and maintain a cumulative GPA of 3.2 or greater.
    • Analytical thinking – The ability to critically and analytically thinking about real problems manifested through data.

 

Knowledge, Skills and Abilities gained in this Role:

 

  • Problem Solver –The ability to manage multiple assignments and tasks, set priorities, and adapt to changing conditions and work assignments. The ability to find/create solutions to problems using creativity, reasoning, past experiences, and available information and resources.
  • Knowledge – Greater insights into the field of warehouse operations.