Part-Time Data Analytics & Data Science Trainer

Job Description: Part-Time Data Analytics & Data Science Trainer
Company: SkillzRevo Solutions Pvt. Ltd.
Position: Senior Data Analytics & Data Science Trainer
Experience: 10+ Years
Employment Type: Part-Time / Freelance
Training Mode: Online Live Classes
Working Days: Saturday & Sunday
Class Timings: 9:00 PM – 12:00 AM IST
Work Location: Remote / Work from Home
About the Role
SkillzRevo Solutions is looking for an experienced Data Analytics & Data Science Trainer with strong expertise in Power BI, Tableau, SQL, Python, Statistics, Machine Learning, and Deep Learning. The candidate will deliver live online training sessions focused on practical implementation, industry use cases, hands-on exercises, and end-to-end projects.
Key Responsibilities
Deliver live online training sessions every Saturday and Sunday from 9:00 PM to 12:00 AM IST.
Teach Data Analytics, Data Science, Machine Learning, and Deep Learning concepts.
Develop structured training materials, presentations, assignments, assessments, and practical exercises.
Demonstrate real-world dashboards, statistical analysis, predictive modeling, and deep learning applications.
Guide learners through industry-based case studies and end-to-end capstone projects.
Conduct doubt-clearing sessions and evaluate learner performance.
Maintain attendance, session records, and learner progress updates.
Ensure consistent training quality and timely completion of the assigned curriculum.
Technical Skills Required
1. Power BI
Power BI Desktop and Power BI Service
DAX, Power Query, and data modeling
Interactive dashboards, KPI reporting, and data visualization
Report publishing, scheduled refresh, and Row-Level Security
2. Tableau
Tableau Desktop and Tableau Cloud/Server
Calculated fields, parameters, and LOD expressions
Interactive dashboards, data storytelling, and performance optimization
3. SQL
SQL fundamentals, joins, subqueries, and aggregations
CTEs, window functions, and stored procedures
Data extraction, transformation, and query optimization
SQL Server or MySQL
4. Python
Python fundamentals, functions, and data structures
NumPy and Pandas
Data cleaning, manipulation, and exploratory data analysis
Matplotlib and Seaborn
Jupyter Notebook and Google Colab
5. Statistics
Descriptive and inferential statistics
Probability distributions and sampling
Hypothesis testing and confidence intervals
Correlation, regression, and statistical interpretation
A/B testing and statistical decision-making
6. Machine Learning
Supervised and unsupervised learning
Linear and logistic regression
Decision trees, random forests, and ensemble methods
Clustering and dimensionality reduction
Feature engineering, model evaluation, and validation
Scikit-learn and end-to-end machine learning projects
7. Deep Learning
Artificial Neural Networks (ANNs) and Multilayer Perceptrons (MLPs)
Forward propagation, backpropagation, and optimization algorithms
Activation functions, loss functions, and regularization
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs), LSTMs, and GRUs
TensorFlow, Keras, and/or PyTorch
Model training, evaluation, hyperparameter tuning, and overfitting prevention
Practical projects involving image classification, sequence modeling, and other deep learning applications
Required Qualifications & Experience
Minimum 10+ years of professional experience in Data Analytics, Business Intelligence, Data Science, or related fields.
Strong hands-on knowledge of the listed technical subjects.
Proven experience delivering corporate training, professional upskilling, or technical education programs.
Excellent communication, presentation, and mentoring skills.
Ability to explain complex concepts using practical demonstrations and real-world datasets.
Experience designing industry-relevant projects, assignments, and assessments.
Availability to deliver classes consistently on Saturday and Sunday during the specified time slot.
Preferred Certifications
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Relevant Tableau certifications
Python, Data Science, Machine Learning, or Deep Learning certifications
Engagement Details
Engagement: Part-time / Freelance
Schedule: Saturday and Sunday
Timing: 9:00 PM–12:00 AM IST
Delivery: Live online instructor-led training
Remuneration: Negotiable based on experience and expertise
How to Apply
Interested candidates should share their updated resume, relevant certifications, training experience, and sample Power BI/Tableau dashboards or Machine Learning and Deep Learning project portfolios.

Work arrangement
Yes