Adjunct Instructor in Business Intelligence and Visual Analytics

Brandeis University•Waltham, MA

22h•$6,573•Remote

About The Position

Brandeis University’s Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 130 Business Intelligence and Visual Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Applied Data Science and Decision Analytics. This course will focus on storytelling with data, visual perception, and AI-enhanced dashboarding. Students create executive-ready reports using BI platforms.

Requirements

Advanced degree (Master's or Ph.D) in Analytics, Strategic Analytics, Strategic Leadership, Information Design, Data Science, Software Engineering, or related field.
Experience using BI and visual analytics tools in industry or consulting contexts.
Experience in business intelligence, data visualization, and analytics storytelling, with the ability to translate insights into strategic actions.
At least 1 year of teaching or training experience (preferably online/asynchronous).
Experience with online instruction.
Excellent communication and teaching skills in an online learning environment.

Nice To Haves

Prior online teaching experience at the graduate level.
Knowledge of global learner personas and culturally responsive pedagogy.
Familiarity with Moodle LMS and digital authoring tools (e.g., H5P).

Responsibilities

Organized and timely rollout of course content.
Maintaining consistent communication through weekly announcements.
Ensuring all instructional activities occur within university-approved digital platforms.
Building an active teaching persona by hosting live introductory sessions.
Facilitating weekly academic discourse in forums.
Maintaining regular availability for student consultation.
Providing transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
Adherence to university communication protocols.
Promotion of respectful online "netiquette".
Ensuring the course meets accessibility and technical visibility standards before and during the term.