Welcome to the official site for employment opportunities at MICA. At MICA, we value diversity and empower our employees to use their talent in a variety of ways. We are pleased that you are interested in career opportunities offered at MICA.
General purpose:
To provide advisement for Data Analytics and Visualization (DAV) graduate students and to convey knowledge and guidance from a professional perspective over the course of the program. This position will lead group advisement sessions with students, which take place between their for-credit courses (approx. once every 8 weeks). During these sessions the capstone advisor will lead workshop-style activities and discussions designed to support students as they develop their capstone projects (approx. 2 hours/group session). The capstone advisor will also be available to mentor or meet with students occasionally outside of the advisement sessions (approx. 1 hour/week total). The capstone advisor serves students for the 15-month duration of the program.
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.
- Proficiency in data analytics and visualization programs such as R, Tableau, Excel, Python, Adobe Illustrator, and others as necessary.
Minimum qualifications:
- Education: Bachelor’s degree in a related field
- Experience: 5+ years of related experience
Preferred Qualifications:
- Master’s degree in a related field
- Experience: 10+ years of related experience
Conditions of Employment: Satisfactory Background Check
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 the job, the employee is occasionally required to stand, walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; balance; stoop; talk or hear. The employee must occasionally lift up to 15 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
- Work environment: While performing the duties of the job, the employee is exposed to weather conditions prevalent at the time. The noise level in the work environment is usually minimal.
Maryland Institute College of Art is committed to its policy of providing equal opportunity regardless of race, color, creed, national origin, religion, gender, sexual orientation, marital status, age, disability, or veteran status (disabled, Vietnam-era, or otherwise). Furthermore, the College does not tolerate any form of sex discrimination, including sexual harassment or sexual violence. This policy applies to all programs, facilities, and activities provided by Maryland Institute College of Art, including but not limited to admission, educational programs, and employment.
Applicants must apply online for each job in which they are interested. You will not be considered for any job for which you have not specifically applied. We do not accept applications via email, U.S. mail, or fax. Successful candidates for any staff or faculty positions will be subject to a pre-employment background check.
MICA provides reasonable accommodations to applicants with disabilities on a case-by-case basis. If you need a reasonable accommodation for any part of the application and hiring process, please contact Human Resources at .
Data Analyst Tableau visualization Python Adobe Illustrator R Microsoft Excel