Data Analytics Trainer / Faculty

Job Title: Data Analytics Trainer / Faculty

Department: Computer Science / Data Analytics / Business Analytics / Information Technology

Location: K. R. Mangalam University, Gurugram Sohna Rd Hwy, Haryana 122103

Job Type: Full-time

• Conduct lectures, lab sessions, and workshops on:
  • Fundamentals of Data Analytics
  • Excel for Data Analysis
  • Data Visualization (e.g., Tableau, Power BI)
  • Statistical Analysis using tools like R or Python
  • SQL and Relational Databases
  • Business Intelligence tools and dashboards
  • Data Wrangling and Cleaning techniques
  • Predictive Analytics & Reporting
• Design course content, prepare teaching materials, and develop assessment tools (assignments, quizzes, exams).
• Deliver hands-on training using real-world datasets and case studies.
• Stay updated with the latest tools and technologies in data analytics.

• Guide students on mini-projects, capstone projects, internships, and research work.
• Provide academic advising and career guidance in the field of analytics.
• Foster an engaging and supportive learning environment.

• Contribute to the development and continuous improvement of the data analytics curriculum.
• Collaborate with academic teams and industry advisors to ensure course relevance and quality.

• Participate in departmental meetings, academic planning, student reviews, and accreditation processes.
• Support outreach and awareness efforts such as workshops, seminars, guest lectures, and faculty development programs.

• Master’s degree or Ph.D. in Data Analytics, Statistics, Computer Science, Business Analytics, or a related discipline.
• Professional certifications (e.g., Microsoft Certified Data Analyst, Tableau, Power BI, Google Data Analytics, SAS) are advantageous.

• Minimum [2–5] years of teaching, training, or industry experience in data analytics or business intelligence.
• Experience with practical projects and tools in analytics is highly preferred.

• Proficiency in data analytics tools and languages: Excel, SQL, Python (Pandas, NumPy, Matplotlib), R, Power BI, Tableau.
• Solid understanding of data analytics concepts including data preprocessing, exploratory data analysis (EDA), statistical inference, and business reporting.
• Excellent verbal and written communication skills.
• Strong classroom and online teaching abilities.
• Familiarity with Learning Management Systems (LMS) and digital teaching tools.

• Experience mentoring undergraduate or postgraduate students.
• Record of publications, industry projects, or consulting in data analytics.
• Ability to collaborate across departments and with industry partners.
• Commitment to continuous learning and curriculum enhancement.