Assistant Professor

Location: Pirangut

Job Title:

Faculty – Business Analytics & Data Science    Location
Pune, Maharashtra
Experience Required
Minimum 6 years of overall industry and/or academic experience.
Mandatory minimum 2 years of teaching, training, or faculty experience in higher education institutions, universities, coaching institutes, or corporate training environments.
Educational Qualification
Bachelor's or Master's Degree in Statistics, Mathematics, Computer Science, Data Science, Business Analytics, Engineering, or a related discipline.
Relevant certifications in Data Analytics, Business Intelligence, Data Science, SQL, Python, Power BI, Tableau, or AI will be an added advantage.
About the Role
We are seeking a highly motivated and knowledgeable Faculty – Business Analytics & Data Science to deliver industry-oriented training to undergraduate and postgraduate students. The ideal candidate should possess strong analytical expertise and be capable of simplifying complex concepts into practical, application-based learning experiences.
The candidate will be responsible for classroom teaching, curriculum delivery, student mentoring, project guidance, and enhancing students' employability through hands-on training in analytics and data-driven decision-making.

Key Responsibilities
Teaching & Training
Deliver engaging classroom and practical sessions on Business Analytics and Data Science.
Teach subjects including:
Business Analytics
Statistics for Business
Advanced Excel
SQL
Python for Data Analytics
Data Visualization & Reporting
Predictive Analytics Concepts
Data Interpretation & Business Insights
Introduce students to emerging technologies such as Generative AI and Prompt Engineering (preferred but not mandatory).
Conduct workshops, bootcamps, and skill-development sessions.
Academic Responsibilities
Develop lesson plans, presentations, assignments, case studies, and assessment materials.
Evaluate student performance through examinations, projects, and presentations.
Mentor students for academic projects, competitions, internships, and placements.
Stay updated with industry trends and incorporate real-world business cases into teaching.
Student Development
Guide students in analytics tools and industry best practices.
Assist students in building analytical thinking and problem-solving skills.
Support students in preparing for analytics-related careers and interviews.
Industry Engagement
Bridge the gap between academia and industry by incorporating practical applications.
Participate in curriculum enhancement and content development initiatives.
Contribute to institutional branding through seminars, guest lectures, and knowledge-sharing sessions.
Required Technical Skills
Mandatory
Business Analytics
Statistics
SQL
Python
Advanced Excel
Data Analysis & Interpretation
Data Visualization
Dashboarding & Reporting
Preferred
Generative AI
Prompt Engineering
Power BI
Tableau
Machine Learning Fundamentals
Predictive Analytics
Business Intelligence Tools

Desired Candidate Profile
Strong communication and presentation skills.
Passion for teaching and mentoring students.
Ability to explain analytical concepts through practical examples and case studies.
Excellent classroom management and student engagement skills.
Industry exposure in analytics, data science, consulting, research, or business intelligence will be highly preferred.
Ability to design hands-on exercises and real-world analytics projects.
Key Competencies
Analytical Thinking
Problem Solving
Data-Driven Decision Making
Student Mentoring
Curriculum Development
Stakeholder Management
Presentation & Facilitation Skills
Continuous Learning Mindset