Academic Faculty – Data Analytics

Job Description:

• ScholartudeTech is looking for an experienced and passionate Data Analytics Faculty to train and mentor students in the art of data-driven decision making.
• The ideal candidate will have strong analytical expertise, hands-on experience with modern tools and technologies, and the ability to translate complex concepts into practical learning for students preparing for careers in data analytics and business intelligence.

Job Responsibilities:

• Design and deliver interactive lectures, workshops, and lab sessions covering key areas such as data analysis, data visualization, statistical modeling, and predictive analytics.
• Create and update course content, assignments, and projects aligned with industry standards and real-world applications.

• Guide students in capstone projects, case studies, and real-world data analysis problems.
• Provide academic and career mentorship, helping learners build skills for roles in data analytics, business intelligence, and data science.

• Stay updated with emerging trends, tools, and best practices in data analytics and big data technologies.
• Encourage students to explore innovative approaches in analytics, AI-driven insights, and data visualization.

• Partner with industry experts and academic teams to ensure that the curriculum remains relevant to market needs.
• Support industry tie-ups, live data projects, and internships to provide hands-on exposure.

Required Skills & Qualifications:

• Education: Master’s degree in Data Analytics, Statistics, Computer Science, or a related field. Ph.D. preferred but not mandatory.
• Experience: Minimum 02 – 06 years of teaching or professional experience in data analytics, data science, or business intelligence.

• Statistical analysis and predictive modeling
• Data visualization tools (Tableau, Power BI, Google Data Studio)
• Programming languages: Python / R / SQL
• Big Data tools (Hadoop, Spark) – desirable
• Excellent communication and presentation skills to simplify complex concepts for students.

• Hands-on experience in real-world data analytics projects or published research in analytics/data science.
• Familiarity with machine learning techniques and their applications in analytics.
• Industry certifications such as Google Data Analytics, Microsoft Certified: Data Analyst Associate, or equivalent are a plus.
• Passion for teaching, mentoring, and shaping future data professionals.

Perks & Benefits:

• Opportunity to work with cutting-edge analytics tools and technologies.
• Be part of ScholartudeTech’s mission to create industry-ready data analytics professionals.
• Collaborative and flexible work culture with full ownership of courses and projects.
• Access to live projects, industry collaborations, and professional development opportunities.
• Continuous learning in a fast-growing EdTech environment.