Academic Faculty – Data Analytics
2 weeks ago
- 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.
Teaching & Curriculum Development
- 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.
Student Mentorship & Guidance
- 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.
Research & Innovation
- 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.
Collaboration & Industry Integration
- 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.
- 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.
Strong knowledge of:
- 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.
Preferred Attributes
- 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.
- 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.
Location:
Any
Job Type:
Hybrid Teaching
Salary:
AS PER MARKET STANDARDS
Experience:
02 To 06 Years
Age Criteria:
Below 35 Years
Education:
Master's Degree In Data Analytics, Statistics, Computer Science, Or A Related Field
Language:
English, Hindi
BYOD Policy:
-
Vehicle Policy:
-
Work Mode:
On-site
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