Learning Analytics Specialist

Required Qualifications:

• Master’s degree in statistics or a related field, or an equivalent combination of education and additional related experience.
• Experience (typically 1 year or more) in learning analytics projects, including research that integrates learning analytics interventions.
• Proficiency in R for data management, analysis, and visualization.
• Proficiency in SQL.
• Knowledge of various statistical analysis (e.g. descriptive statistics, conductive hypothesis tests, and using multiple linear regression and logistic regression to model outcomes.)
• Excellent written and verbal communication skills.
• Excellent interpersonal skills and demonstrated ability to work productively as part of a team.
• Demonstrated, highly-developed organizational skills and practices.

Desirable Qualifications:

• Knowledge of machine learning techniques and algorithms. 
• Knowledge of Unizin Data Platform and Canvas.
• Knowledge of learning theory and its application in higher education settings.
• Knowledge of University policies, procedures, and regulations.
• Knowledge of methods used in educational data mining.
• Experience with a programming language such as Python.
• Ph.D. in Educational Evaluation, Statistics, or a related field.

Position and Application details: 

In order to be considered for an interview, applicants must upload the following documents and mark them as a “Relevant File” to the submission:

• Resume
• Cover Letter

Job openings are posted for a minimum of 14 calendar days and may be removed from posting and filled any time after the original posting period has ended. 

Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification.  Up to 5 professional references will be requested at a later step in the recruitment process. 

For additional questions, please contact Melanie Bell at melanie-bell@uiowa.edu. 

There is an expectation that the person in this position will maintain effective, civil, and respectful working relationships with the University of Iowa campus community and uphold a high standard of cultural competency and respect for difference that represents our commitment to a welcoming and respectful work environment.