Assistant Professor Business Analytics

Company Description MGM University traces its roots to the Mahatma Gandhi Mission educational trust, established in 1982 in Aurangabad under the guidance of former Education Minister Shri Kamalkishore Kadam and a group of academic visionaries. Over four decades, MGM has built a reputation for academic excellence and advanced health care services, supported by modern infrastructure and prominent campus locations. The university offers programs from primary to postgraduate levels and actively promotes classical dance, music, art, culture, and heritage, fostering creativity among learners. Its lush green, serene campus and strong emphasis on character-building and holistic development make MGM University an engaging environment for teaching, research, and professional growth.

Role Description The Assistant Professor of Business Analytics will be responsible for teaching undergraduate and postgraduate courses in business analytics, including subjects such as Business Analytics , Data analytics , Business Analysis tools etc. Day-to-day responsibilities include preparing and delivering lectures, designing assignments and examinations, mentoring students, and guiding projects and internships. The role also involves conducting research, publishing in academic journals, contributing to curriculum development, and participating in departmental and university committees. The Assistant Professor will engage in academic advising, support co-curricular activities, and collaborate with industry and academic partners to keep course content aligned with current practices. This is a full-time, on-site role based at MGM University in Aurangabad.

Qualifications

• PG Degree preferably MBA with specialization in Business Analytics and or MCA , Computer Science , Information Technology Graduate.
• Candidates should possess strong skills in University Teaching and Training, with experience facilitating interactive, learner-centered classrooms.
• Demonstrated ability to work with analytical tools and software (e.g., Excel, R, Python, SPSS, or similar) and apply them in teaching and research.
• Strong written and verbal communication skills, with the ability to explain complex concepts clearly to diverse learners.
• Experience in academic administration, student mentoring, and contribution to departmental activities is desirable.
• Prior teaching or industry experience in business analytics, data-driven decision-making, or related fields will be considered an advantage.