Assistant Professor Business Analytics

CHANDIGARH UNIVERSITY; Mohali; On-site; INR 800,000 - 1,500,000; Full time

Job summary

CHANDIGARH UNIVERSITY invites applications for a faculty position in Data Analytics. The role focuses on teaching core subjects like Predictive Analytics, Data Visualization, Data Mining, and BI tools, with hands-on lab delivery using Python, R, SQL, Tableau and Power BI.

The candidate will also supervise capstones, conduct research, and participate in FDPs and conferences to stay updated with global advancements.

Qualifications

• Master’s degree (MBA, M.Tech, M.Sc., or equivalent) with specialization in Business Analytics, Data Science, Statistics, or allied field, with First Class.
• Ph.D. in a relevant discipline highly preferred; candidates pursuing Ph.D. are considered for Assistant Professor roles.
• UGC-NET qualification highly preferred as per standard Indian higher-education norms.
• Experience blending teaching in higher education and/or corporate data analyst work.

Responsibilities

• Teach and deliver engaging lectures on core analytics subjects.
• Lead hands-on sessions in Data Analytics labs with live datasets.
• Develop and update course modules, assessments, and labs.

Skills

Lecture delivery

Data Analytics labs

Curriculum design

Python

R

SQL

Tableau

Power BI

Advanced Excel

Big Data

Hadoop

Spark

Cognos

Planning Analytics

Statistics

Machine Learning

Student mentoring

Research supervision

Education

MBA/M.Tech/M.Sc. with specialization in Business Analytics/Data Science/Statistics

Ph.D. preferred / pursuing

UGC-NET qualification

Tools

Python

R

SQL

Tableau

Power BI

Advanced Excel

Hadoop

Apache Spark

Cognos

Planning Analytics

Job description

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.