Adjunct Faculty, Data Analytics and Visualization

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General purpose: To provide asynchronous instruction for Data Analytics and Visualization (DAV) graduate students and to convey knowledge of multiple elements of data analytics from a professional perspective.

Summary of Essential Functions:

• Develop and maintain an engaging asynchronous online learning environment via Canvas.

• Collaborate and coordinate with Program leadership and faculty.

• Hold virtual office hours for the duration of the class.

• Provide core instruction to satisfy primary learning objectives of the course.

• Provide timely feedback on and assessment of student work.

• Work directly with the curriculum team to establish program and course learning objectives, standardize rubrics and syllabi, and assist in structuring course materials on Canvas.

Essential Duties & Responsibilities:

• Prepare asynchronous lesson plans for the duration of the course. This may include sourcing supplementary materials from diverse sources, ensuring course materials are relevant, up-to-date, and in alignment with program learning objectives.

• Design and deliver engaging asynchronous learning materials, including video lectures, interactive exercises, and discussion forums.

• Maintain consistent communication with students:

  • Holding at least one hour of regular virtual office hours every week.

  • Replying to any student communication within 24 hours.

• Evaluate and provide feedback on student work. This includes providing timely written and/or audio/video feedback via Canvas and keeping a current gradebook.

• Maintain the Canvas course throughout the term. This includes updating the syllabus, setting assignments with due dates, and providing slide decks and other materials to students in modules.

• Perform other related duties as assigned.

Knowledge, Skills, and Abilities:

• Knowledge of Data Analysis and Visualization subject matter.

• Courses in this degree include:

  • Foundations of Data Analytics and Visualization Literacy

  • Statistics and Analysis I

  • Statistics and Analysis II

  • Visual Storytelling I

  • Visual Storytelling II

  • Design Lab: The Industry Challenge

  • Capstone I & II

• Applicants should have experience and expertise in at least one of the above areas of knowledge.

• Applicants should be comfortable with using technology in an online learning environment, including Canvas and video conferencing platforms.

• Applicants should be able to demonstrate pedagogical knowledge of their subject area, with an emphasis on asynchronous instruction.

• Proficiency in data analytics and visualization programs such as R, Tableau, Excel, Python, Adobe Illustrator, and others as necessary.

Minimum qualifications:

• Bachelor's degree in a related field plus proven/relevant professional experience

Preferred qualifications:

• Master’s degree in a related field plus proven/relevant experience

• Experience teaching in an online or asynchronous format.

• Expert knowledge of data visualization tools such as R, Tableau, Python, D3

Conditions of Employment:

• Satisfactory background check

Salary

• $4,515.00 - $7,656.00 (commensurate with experience )

Physical demands and work environment: The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Physical Demands: While performing the duties of job, the employee