Key Responsibilities
1. Teaching & Academic Delivery
- Deliver engaging, high-quality lectures on core subjects such as Predictive Analytics, Data Visualization, Data Mining, Business Intelligence, and Domain-Specific Analytics (Marketing, HR, Finance).
- Facilitate hands-on training sessions in dedicated Data Analytics labs using live datasets and case studies.
- Design, develop, and regularly update course modules, lesson plans, and assessments to keep pace with emerging industry trends.
2. Technical Instruction
- Instruct and train students on essential industry tools and programming languages, including Python, R, SQL, Tableau, Power BI, and Advanced Excel.
- Introduce students to advanced platforms and Big Data ecosystems where applicable (e.g., Hadoop, Apache Spark, or IBM-specific tools like Cognos and Planning Analytics).
- Guide students in applying statistical methods and basic machine learning to solve practical business problems.
3. Research & Academic Contributions
- Actively engage in academic research and publish papers in high-impact, peer-reviewed journals (Scopus/Web of Science indexed).
- Supervise and guide students through their capstone projects, dissertations, and research paper publications.
- Participate actively in Faculty Development Programs (FDPs), webinars, and international conferences to stay updated with global advancements.
4. Mentoring & Departmental Duties
- Provide academic coaching, career mentorship, and personalized support to students.
- Assist the department in administrative tasks, curriculum design, and coordinating industry-academia tie-ups.
- Encourage and mentor students for participation in data hackathons, business quizzes, and national-level competitions.
Qualifications & Experience
- Educational Background: A Master's degree (MBA, M.Tech, M.Sc., or equivalent) with a specialization in Business Analytics, Data Science, Statistics, or a closely allied field, backed by a strong academic record (First Class).
- Ph.D. Requirement: A Ph.D. in a relevant discipline is highly preferred. Candidates currently pursuing their Ph.D. are also widely considered for Assistant Professor roles.
- Certifications: UGC-NET qualification is highly preferred as per standard Indian higher-education norms.
- Experience: A blend of teaching experience in higher education and/or corporate industry experience working directly as a Business/Data Analyst is highly valued.
Interested candidates can directly share their resumes at [Confidential Information]
