Key Responsibilities:

Teaching &amp; Training

<ul>
<li>Conduct lectures, lab sessions, and workshops on:</li>
</ul>

<ul>
<li>Fundamentals of Data Analytics</li>
</ul>

<ul>
<li>Excel for Data Analysis</li>
</ul>

<ul>
<li>Data Visualization (e.g., Tableau, Power BI)</li>
</ul>

<ul>
<li>Statistical Analysis using tools like R or Python</li>
</ul>

<ul>
<li>SQL and Relational Databases</li>
</ul>

<ul>
<li>Business Intelligence tools and dashboards</li>
</ul>

<ul>
<li>Data Wrangling and Cleaning techniques</li>
</ul>

<ul>
<li>Predictive Analytics &amp; Reporting</li>
</ul>

<ul>
<li>Design course content, prepare teaching materials, and develop assessment tools (assignments, quizzes, exams).</li>
</ul>

<ul>
<li>Deliver hands-on training using real-world datasets and case studies.</li>
</ul>

<ul>
<li>Stay updated with the latest tools and technologies in data analytics.</li>
</ul>

Student Mentorship

<ul>
<li>Guide students on mini-projects, capstone projects, internships, and research work.</li>
</ul>

<ul>
<li>Provide academic advising and career guidance in the field of analytics.</li>
</ul>

<ul>
<li>Foster an engaging and supportive learning environment.</li>
</ul>

Curriculum Development

<ul>
<li>Contribute to the development and continuous improvement of the data analytics curriculum.</li>
</ul>

<ul>
<li>Collaborate with academic teams and industry advisors to ensure course relevance and quality.</li>
</ul>

Administrative &amp; Institutional Engagement

<ul>
<li>Participate in departmental meetings, academic planning, student reviews, and accreditation processes.</li>
</ul>

<ul>
<li>Support outreach and awareness efforts such as workshops, seminars, guest lectures, and faculty development programs.</li>
</ul>

Qualifications:

Educational Requirements:

<ul>
<li>Master’s degree or Ph.D. in Data Analytics, Statistics, Computer Science, Business Analytics, or a related discipline.</li>
</ul>

<ul>
<li>Professional certifications (e.g., Microsoft Certified Data Analyst, Tableau, Power BI, Google Data Analytics, SAS) are advantageous.</li>
</ul>

Experience:

<ul>
<li>Minimum [2–5] years of teaching, training, or industry experience in data analytics or business intelligence.</li>
</ul>

<ul>
<li>Experience with practical projects and tools in analytics is highly preferred.</li>
</ul>

Required Skills:

<ul>
<li>Proficiency in data analytics tools and languages: Excel, SQL, Python (Pandas, NumPy, Matplotlib), R, Power BI, Tableau.</li>
</ul>

<ul>
<li>Solid understanding of data analytics concepts including data preprocessing, exploratory data analysis (EDA), statistical inference, and business reporting.</li>
</ul>

<ul>
<li>Excellent verbal and written communication skills.</li>
</ul>

<ul>
<li>Strong classroom and online teaching abilities.</li>
</ul>

<ul>
<li>Familiarity with Learning Management Systems (LMS) and digital teaching tools.</li>
</ul>

Preferred Attributes:

<ul>
<li>Experience mentoring undergraduate or postgraduate students.</li>
</ul>

<ul>
<li>Record of publications, industry projects, or consulting in data analytics.</li>
</ul>

<ul>
<li>Ability to collaborate across departments and with industry partners.</li>
</ul>

<ul>
<li>Commitment to continuous learning and curriculum enhancement.</li>
</ul>

Data Analytics in New Delhi (UID-12279)

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