Adjunct Associate Faculty, Storytelling with Data (On-Campus, Fall '26) at Columbia University

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Visualization, Data Storytelling, Communication, Tableau, Presentation Design, Analytics, Teaching, Feedback, Evaluation, Student Support, Strategic Communication, Visual Perception, Professional Experience, Graduate Level Teaching, Narrative Development

Industry

Higher Education

Description

Company Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through fourteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University's Master of Science in Applied Analytics program is seeking analytics professionals to serve as a part-time Associate for a graduate level course on Storytelling with Data. The Storytelling with Data course teaches students how to effectively present data analytics by developing and delivering a compelling narrative that has been tailored a with a specific audience in mind. Throughout the course, students create and receive feedback on data storytelling while sharpening their ability to communicate complex analytics to technical and nontechnical audiences with clarity, precision, and influence. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. Responsibilities Attend all class sessions to support instruction, lead breakout sessions, and facilitate discussions. Evaluate and grade student work and assessments as requested by the course Lecturer. Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty members that possess outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements Graduate degree in an area related to data science and a focus on data visualization, visual perception, and strategic communication. Proven ability to design and deliver compelling, data-driven narratives. 3+ years of professional experience, involving experience in designing and delivering presentations with data analytics and insights to internal or external audiences. Proficient in Tableau Preferred Skills & Experience Custom data visualization experience. Sales reporting/financial reporting/advertising reporting experience. University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer. Employee Job Category: Faculty Job Term: 2025 FALL Role: Associate, Part-time Department: Applied Analytics Division: Masters Program: Applied Analytics Academic Program: APAN

Responsibilities

Attend all class sessions to support instruction and facilitate discussions. Evaluate and grade student work and address student concerns as needed.