Data Analytics Academic Associate at ISB

Indian School of Business; Hyderabad; On-site; INR 670,000 - 1,004,000; Full time

Benefits offered by this job

Competitive monthly compensation

Access to Business Foundations certification

Participate in academic events and workshops

Job summary

A premier business school in Hyderabad seeks a Data Analytics Academic Associate to support faculty in delivering high-quality courses and enhance student learning experiences. The role is ideal for energetic individuals with strong academic backgrounds who aspire to build a career in higher education or research. You will manage course activities, help with student mentorship, and have opportunities for professional development through structured certification tracks. This is a great entry point for those interested in pursuing advanced studies or teaching positions.

Qualifications

• Master’s degree required in relevant fields.
• Candidates may pursue or hold a Ph.D.
• Familiarity with LMS and digital tools.
• Familiarity with big data frameworks and business applications.
• Proficiency in Python and R; MS Excel skills including VLOOKUP and charts.

Responsibilities

• Assist in course development and management.
• Provide mentorship and tutorials to students.
• Ensure documentation compliance.
• Document grading and student communications for audits; ensure compliance.

Skills

Data Science fundamentals

Artificial Intelligence (AI)

Machine Learning (ML)

Deep Learning (DL)

Business Analytics

Strong communication skills

Organizational skills

Collaboration

Education

Master’s degree in Science, Engineering, Computer Science, Statistics, Mathematics, Data Science, AI or related fields

Candidates pursuing PhD may apply

Tools

Python

R

MS Excel

Job description

Data Analytics Academic Associate at ISB

Overview

As an Academic Associate, you’ll have the opportunity to work alongside world-renowned resident and visiting faculty to deliver high-quality courses and shape the learning experiences of future business leaders. This role is ideal for young, energetic individuals with a strong academic background who aspire to start their careers in higher education, research, or teaching. Many ISB Academic Associates often pursue a Ph.D. at internationally renowned universities or business schools, or transition into teaching positions at well-known universities.

You will primarily support faculty in course delivery, manage academic activities, and ensure smooth classroom operations — from facilitating sessions and grading assignments to enabling engaging learning experiences. Additionally, you will have a unique opportunity to pursue one of the two structured certification tracks as part of our Academic Associate Certificate Program (AACP):

• Teaching Track
• Research Track

These professional development options will complement your role by strengthening your professional skills and laying a strong foundation for your future academic journey.

• Competitive monthly compensation.
• Access to Business Foundations certification via ISB online.
• Ability to credit/audit select ISB PGP and FPM courses as part of AACP.
• Participate in workshops, seminars, practicums, and peer learning sessions focused on instructional strategies and research development.
• Full access to ISB’s world-class library resources.
• Opportunities to attend conferences, summits, and academic events held on campus.
• Collaboration with distinguished faculty who are thought leaders in their fields, shaping cutting-edge research and influencing global academia.

Qualifications

Educational Background:

• Master’s degree required (pure science, Engineering, Computer Science, Statistics, Mathematics, Data Science, AI, or related fields).
• Candidates pursuing or holding a Ph.D. may apply.

Preferred Qualifications:

While not mandatory, candidates with the following background or expertise will be at an advantage.

• Strong foundational knowledge of Data Science, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Business Analytics.
• Familiarity with Big Data frameworks and business applications.
• Proficiency in programming languages such as Python and R.
• Advanced quantitative and analytical skills, including experience in Quality Engineering, Task Scheduling, and Optimization Techniques.
• Experience with project-based tools and methodologies related to Quantitative Analysis and Statistical Modelling.

Skills and Competencies:

• Commitment to excellence in teaching and learning by providing strong support to both faculty and students.
• Exceptional organizational skills with the ability to handle multiple tasks and meet deadlines efficiently.
• Proven ability to collaborate effectively with faculty and students in a higher education environment.
• Strong communication skills, particularly in mentoring and engaging with students.
• Ability to work collaboratively within a team and across various functions within the department.
• Fundamental proficiency in mathematics and statistics.
• Prior experience in teaching, tutoring, and academic support in higher education setup preferred.
• Familiarity with MS Excel functions, including data sorting, VLOOKUP, filters, descriptive statistics, and chart creation.
• Familiarity with Learning Management Systems (LMS) and digital tools for managing course materials and student data are desirable.

Key Responsibilities

Responsibility Area Description Percentage of Time

Assist in Course Development, Delivery and Management

Support in the setup, management, and delivery of courses, ensuring effective learning experiences. Tasks include managing in-class activities, LMS, grading assignments, providing feedback, and proctoring exams. Support for developing new material when needed.

45%

Student Mentoring and Tutorials

Provide academic guidance and mentorship to students, offer personalized support, and assist with understanding course content. Conduct tutorials and offer targeted academic assistance. Ensure students receive timely help with their queries and develop key academic skills.

15%

Documentation and Audit Compliance

Ensure fulfilment of audit requirements by accurately documenting all grading, student communications, and course-related interactions. Maintain organized records to support internal audits and compliance reviews.

20%

Professional Development and Certification

Audit courses for certification requirements (teaching or research).
Attend workshops, seminars, and peer learning sessions focused on both instructional strategies and research development.
Participate in faculty-led research projects to develop research skills and gain experience, enhancing overall research competencies (subject to opportunity).

Timings : Monday- Friday, 08:00 AM IST to 06:00 PM IST