Graduate Assistsant for Data and Learning Analytics

Employing Office:  Office of Assessment, Accreditation, and Analytics, College of Education and Human Development

Job Title:  Graduate Assistant for Data and Learning Analytics

Type of Graduate Assistant Position:  RAII

Number of Vacancies for this Position:  1

Hours per Week:  20

Term:  Academic Year

Eligible Program Applicants (Applicants will preferably be from one of the following graduate programs): 

• Masters or Doctorate in Education (any)
• Master in Higher Education
• Master in College Student Personnel
• Master of Clinical Mental Health Counseling or School
  Counseling
• Master of Science in Applied Statistics
• Master of Science in Analytics
• Master of Science in Data Science
• Master of Science in Computer Science
• Master of Arts in Psychology
• Master of Arts in Applied Demography
• Doctorate in Leadership Studies
• Doctorate in Statistics or Data Science

Qualifications/Preferred Skills:  

• Previous experience in data visualization with business intelligence software such as Power BI.
• Intermediate or Advanced experience with Excel. Intermediate level R, Python, and SQL. Familiarity with SPSS, STATA, Qualtrics, Dedoose, or similar software.
• Knowledge of and experience in statistics and data analysis is required. Knowledge of machine learning is preferred.
• Experience using data to analyze and improve student learning, curriculum, and program improvement, or other key performance indicators.
• Experience with independent research and strong writing skills.
• Ability to multi-task, take directions, and focus on very detailed work is essential.
• Demonstrate initiative and creative approaches to problem solving.  
• Demonstrate proactive communication skills, a collaborative mindset, ability to adapt to goals and tlines, and a willingness to learn.
• Administrative and organizational skills.

Position Description:  The research assistant (RAII) position will provide a graduate student with the opportunity to collaborate on research projects concerning key performance indicators, quality assurance, analytics, and accreditation. Candidates must be
able to work with confidential data. Training on software and data files will be provided.

Primary responsibilities include

• Project development and testing including Power BI reports, statistical analysis, supervised and unsupervised machine learning, and user experience (UX) using Power BI, Excel, SQL, R, Python, etc.
• Work with multiple data sets (prepare data files for analysis, including standardization, enhancements, and editing) and manage databases.
• Data collection, analysis, and reporting of assessment and learning outcomes data using software such as Qualtrics, Excel, SPSS, STATA, R, Python, and Dedoose.
• Document workflows and develop user guides.
• Provide support for the Office of Assessment, Accreditation, and Analytics.

Application Process:  Applicants wishing to apply for this Graduate Assistant position must: 1) be admitted or accepted for admission as a full-time student in a graduate program at BGSU; and 2) remain in academic good standing to maintain the position.

Required Application Materials:  1.) Send the following materials to Melissa Cardenas, mcarden@bgsu.edu with the subject, “Learning Analytics Graduate Assistantship.” a. Resume, including education and work experience. b. Cover letter, including a statement on the
candidate’s experience or ability to maintain confidential data/information. The cover letter must describe the candidate’s knowledge and/or experience with statistics, Excel, Power BI, R, Python, SQL, and machine learning. Applications which do not include this information will not be considered. Attachments or links to sample work are welcome. c. Two letters of recommendation (at least one
being from an employer). Letters should include a statement about the candidate’s ability to work with confidential data and ability to do statistical analysis, develop or modify Power BI reports, maintain databases, machine learning, AI, and use R, Python, and SQL.

Send Application Materials to:  mcarden@bgsu.edu

Application Due Date:  March 30.  All materials, including letters of recommendation, should be received by the deadline.