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When you work with Maryville University, you are part of a vibrant community leading a revolution in higher education. With strategic precision and vision, we’re building a university for the future.

Join a dedicated staff of professionals who are encouraged to explore, create and excel.

Business Data Analytics Faculty

Apply now Job no: 492268
Work type: Faculty
Location: St. Louis, MO
Categories: School of Business

Posting Details

Job Summary/Basic Function

At Maryville University, we power dreams-not just degrees. Our vision is to be the innovative leader in higher education promoting a revolution in student learning that expands access and opportunities for all.

Maryville University is searching for an energetic and forward-thinking Business Data Analytics faculty member to join our John E. Simon School of Business where we are serious about our mission to develop technologically-savvy future business leaders. We seek educators who think innovatively, build competence in technology, and use engaging pedagogy to help our students deepen their learning and broaden their perspectives.

The successful candidate must be committed to fostering a culturally diverse atmosphere for faculty, staff and students. In addition, the candidate will have the ability to teach the following course subjects:
• Data Analytics
• Data Warehousing
• Data Mining
• Data Visualization
• Advanced Topics in Data Analytics
• Forecasting and Predictive Modeling
• Business Data Analytics Capstone

Essential Job Functions/Responsibilities:
• Teach assigned courses as specified in the schedule and course contract, employing a variety of pedagogical styles in order to effectively deliver course content demonstrating both academic and real-world application of concepts covered.
• Develop innovative pedagogical strategies, including the use of technology, to deliver course content in a meaningful and engaging manner.
• Participate in welcome orientation to become familiar with the University’s mission, academic policies and procedures, expectations, and Canvas (Learning Management System)
• Work closely with instructional design team to deliver course content
• Clearly communicate course objectives and learning outcomes, teaching methodology, assignments and deadlines
• Ensure that program learning and specific course outcomes are assessed for continuous improvement
• Provide feedback and grade assignments in a timely and thorough manner
• Establish office hours to provide additional assistance with student questions/concerns
• Report early alerts for students who are not actively engaging in the course
• Additional duties as assigned

Minimum Qualifications

• Master’s degree in Data Analytics, Data Science, Business, Management Information Systems, Decision Sciences, Statistics, or related field from a regionally accredited institution
• Experience with data analytics languages and tools (e.g. SQL Server, R, Python, Microsoft Azure Machine Learning, Neo4j, TensorFlow, ElasticSearch)
• Experience with data analytics, data mining, machine learning, NoSQL databases, big data, and predictive analytics

Preferred Qualifications

• Doctorate with at least 15 graduate hours in Data Analytics, Management Information Systems, Mathematics, or Statistics from a regionally accredited institution
• Experience with virtual machines (local and cloud based)
• Experience in online teaching and online course development

Physical Demands

 

Open Until Filled

Yes

Special Instructions to Applicants

An offer of employment is contingent upon successful completion of a background screening.

Teaching philosophy, letter of professional interest indicating area(s) of focus and approach to meeting the responsibilities outlined above for the chosen position, curriculum vitae, and 3-5 professional references must be attached to complete the application process.

Applicants requiring University sponsorship to obtain employment authorization will not be considered for this position.

Maryville University is committed to a policy of equal opportunity and prohibits discrimination on the basis of age, disability, gender, genetic information, marital status, national origin, race/color, religion, sex, sexual orientation, veteran status, or any other status protected by law. This extends to all aspects of the employment relationship, including recruiting, hiring, training, on-the-job treatment, promotion, layoff, and termination.

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