Role Description 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. Core Course Responsibilities Summary - Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms. - Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation. - Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe. - Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term. Qualifications - 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. Requirements - Prior online teaching experience at the graduate level (preferred). - Knowledge of global learner personas and culturally responsive pedagogy (preferred). - Familiarity with Moodle LMS and digital authoring tools (e.g., H5P) (preferred). Benefits - Compensation for this position is: $6573.15. Application Process - Interested candidates should submit a cover letter highlighting relevant qualifications and teaching experience. - A current CV or resume. - Contact information for three professional references. - Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

• Own the topic of retention and revenue analytics through optimizing + tracking segmented reinvestment spend, creating key reports for leadership, and delivering actionable insights • Inform impact and drive high-level insights via a combination of always-on and periodic high A/B testing • Develop data collection, data analysis, and business intelligence reporting systems to measure and inform business strategy for the Revenue Operations team • Monitor metrics and perform detailed analysis, and keep key stakeholders informed on trends and areas of opportunity • Understand how user trends impact high-level business KPIs to guide decision-making • Create presentations and written documents with little guidance, and present to both technical and non-technical audiences in an effective way, articulating ideas and opinions clearly and efficiently • Collaborate with decision-makers on the Revenue Operations team to understand their goals, and proactively identify opportunities to use data to develop new insights, guide strategy, and improve business results

• Build & maintain marketing performance dashboards and reports • Automate recurring reporting & operational workflows to reduce manual effort and improve accuracy • Support the management and QA for marketing data pipelines across paid channels • Monitor day-to-day performance across acquisition channels, surfacing insights to marketing team stakeholders • Support channel leaders in implementing incrementality tests and strategies • Conduct deep-dive analyses to support media buying decisions with data-driven insights and recommendations

• Design, develop, and maintain interactive Tableau dashboards and reports. • Transform complex datasets into clear and meaningful visualizations that support business decision-making. • Ensure data accuracy, consistency, and integrity across all reporting solutions. • Analyze large datasets to identify trends, patterns, and business insights. • Deliver actionable recommendations based on data findings. • Collaborate with business stakeholders to gather reporting requirements and deliver scalable solutions. • Clearly communicate technical findings to both technical and non-technical audiences. • Optimize Tableau dashboards and reports for performance and scalability.