Description
Teach courses in business analytics and decision science, such as data management, statistical analysis, machine learning, data visualization, business intelligence, and operations research. Includes both faculty primarily engaged in teaching and those who combine teaching with research and industry-engaged projects.
- • Prepare and deliver lectures on data management, statistics, machine learning, visualization, and business intelligence.
- • Evaluate and grade students' coursework, coding assignments, projects, and papers.
- • Compile, administer, and grade examinations, or oversee others who do.
- • Prepare course materials, including syllabi, datasets, labs, and assignments.
- • Maintain student attendance records, grades, and other required documentation.
- • Initiate, facilitate, and moderate data-driven class discussions and labs.
- • Plan, evaluate, and revise analytics curricula, including data ethics, course content, and teaching methods.
- • Maintain regularly scheduled office hours to advise and assist students.
- • Keep abreast of analytics developments through research, tools, conferences, and professional networks.
- • Advise students on academic pathways, certifications, and analytics career options.
- • Select and obtain textbooks, datasets, and software or cloud resources.
- • Collaborate with colleagues on analytics teaching, research, and curriculum alignment.
- • Partner with industry to secure real-world projects, internships, and program input.
- • Participate in student recruitment, registration, and job placement activities.
- • Serve on academic or administrative committees addressing policies and departmental matters.
- • Participate in campus and community events related to analytics and data literacy.
- • Compile bibliographies and curated data sources for outside reading and analysis.
- • Perform administrative duties, such as coordinating analytics labs, budgets, or programs.
- • Supervise undergraduate or graduate teaching assistants, internships, capstones, and research.
- • Conduct research in business analytics or data science and publish findings.
- • Advise and support analytics or data science student organizations.
- • Provide analytics consulting or executive education to government or industry partners.
- • Write grant proposals to obtain external funding for analytics research or infrastructure.
- • Develop and maintain course websites, code repositories, and learning platforms.
- • Mentor new faculty in analytics pedagogy, research, and industry engagement.
Related specializations
Interview options
Interview options
Interviewee gender
Interviewee accent
Interview time
Related Pathways
Source
Tasks & skills:
O*NET occupational data (work activities, skills, knowledge).
Learn more
Sources & Standards:
This site includes information from O*NET by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Career Clutch has modified some of this information for student readability. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.
Last reviewed: Jan 2026
