Data Analytics Faculty

Their responsibilities encompass teaching, curriculum development, student advising, research, and contributing to the overall academic environment. They ensure students gain the necessary skills and knowledge to analyze data, extract meaningful insights, and contribute to data-driven decision-making. Key Responsibilities:

• Teaching and Instruction:
• Delivering high-quality lectures, labs, and workshops on various data analysis topics, including statistical analysis, data mining, data visualization, and machine learning.
• Developing and updating course materials, including syllabi, assignments, and assessments, to align with current industry standards and best practices.
• Using diverse teaching methodologies to cater to different learning styles and ensure student engagement.
• Providing timely and constructive feedback on student work.
• Curriculum Development:
• Contributing to the design and development of new data analytics courses and programs.
• Ensuring the curriculum is relevant to industry needs and incorporates the latest trends and technologies.
• Participating in curriculum review and revision processes to maintain academic rigor and relevance.
• Student Advising and Mentoring:
• Providing guidance and support to students pursuing data analytics degrees or related fields.
• Helping students choose appropriate courses, select research topics, and plan their careers.
• Mentoring students in research projects and providing guidance on career development.
• Research and Scholarship:
• Conducting independent research in data analysis or related areas.
• Publishing research findings in peer-reviewed journals and presenting at conferences.
• Seeking external funding for research projects.
• Service to the Department and University:
• Participating in departmental meetings and committees.
• Contributing to the overall academic life of the university.
• Engaging with industry professionals and participating in outreach activities.

In essence, data analytics faculty are responsible for:

• Educating students:Equipping them with the knowledge and skills to become effective data analysts.
• Advancing the field: Conducting research and contributing to the development of new data analysis techniques.
• Building the data analytics community:Fostering collaboration and engagement with industry and other stakeholders.

Job Types: Full-time, Part-time

Pay: ₹10,000.00 - ₹15,000.00 per month

Schedule:

• Day shift
• Rotational shift

Supplemental Pay:

• Overtime pay

Language:

• English (Preferred)

Work Location: In person