Live opening · Posted 19 hours ago
The key details from the original listing.
Description supplied by the original job listing.
Company Description NIDADS | National Institute of Data Analytics and Data Science is a specialized institute where learners graduate with portfolio-ready, project-based experience rather than only a certificate. Programs are built around real business problems, requiring learners to write SQL, build models and dashboards, and present their decisions as they would in professional roles. NIDADS offers beginner and advanced tracks in Python, SQL, Excel, Power BI, Tableau, statistics, machine learning, deep learning, NLP, and generative AI. The institute serves graduates, career switchers, and working professionals from fields such as marketing, finance, and operations, through online and offline batches at its Greater Kailash campus in New Delhi. Learners receive mentor-led instruction, portfolio reviews, mock interviews, resume support, and can pursue diplomas, advanced certifications, or a three-year degree in Artificial Intelligence.
Role Description NIDADS is looking for a skilled and passionate Data Analytics & AI Trainer to deliver industry-focused training through interactive sessions, practical assignments, and real-world projects.
The ideal candidate should have strong technical expertise in data analytics, programming, business intelligence, and machine learning, along with the ability to simplify complex concepts and mentor learners from diverse academic backgrounds.
Key responsibilities
Design and deliver structured training sessions in Data Analytics, Python, SQL, Advanced Excel, Power BI, Tableau, Statistics, and Machine Learning.
Conduct hands-on labs, practical assignments, and industry-based projects.
Develop training materials, assessments, and project-based learning activities aligned with the curriculum.
Guide students in data cleaning, exploratory data analysis, predictive modeling, dashboard development, and data visualization.
Evaluate student performance and provide constructive feedback to improve technical proficiency.
Mentor students through capstone projects, portfolio development, and technical interview preparation.
Collaborate with the academic team to enhance course delivery and maintain industry relevance.
Stay updated with emerging analytics tools, AI applications, and industry trends.
Participate in academic workshops, technical events, and student development initiatives.
Required Technical Skills
Advanced Excel: Pivot Tables, Power Query, advanced formulas, dashboards, and automation.
SQL: Joins, subqueries, CTEs, window functions, and database management.
Python: NumPy, Pandas, Matplotlib, Seaborn, and Plotly.
Business Intelligence: Power BI, DAX, Tableau, data modeling, and interactive dashboards.
Statistics: Descriptive statistics, hypothesis testing, regression, and exploratory data analysis.
Machine Learning & AI: Supervised and unsupervised learning, predictive analytics, classification, clustering, and scikit-learn.
Software Development: Programming fundamentals, coding best practices, version control, and modular design.
Qualifications & Experience
Undergraduates can apply.
Prior experience in Data Analytics, Data Science, Business Intelligence, or technical training.
Experience designing practical assignments, assessments, and real-world analytical projects.
Excellent communication, interpersonal, and mentoring skills.
Passion for teaching and helping learners become industry-ready.
Interested candidates can share their updated resume at Work.kulsum@gmail.com with the subject line "Application – Data Analytics & AI Trainer".
Work arrangement
No
Live timing from JobBeeper.
Recently tracked roles with full details and direct application links.