Data Trainer

Job Description: Data Science, Data Engineering & Analytics Trainer

Job Title: Data Science / Data Engineer / Data Analyst / Business Analytics Trainer
Experience: 28 Years
Employment Type: Full-Time / Part-Time / Freelance
Work Mode: Online / Remote
Location: Pan India
Industry: IT Training / EdTech

Job Summary

We are looking for experienced and passionate trainers to deliver industry-oriented training in Data Science, Data Engineering, Data Analytics, and Business Analytics. The trainer will help students, fresh graduates, and working professionals develop practical technical skills through live sessions, hands-on exercises, real-world datasets, and industry-relevant projects.

Key Responsibilities

• Conduct live online training sessions in the assigned specialization.
• Explain technical concepts using practical examples and case studies.
• Design assignments, coding exercises, assessments, and capstone projects.
• Provide hands-on demonstrations using industry-standard tools.
• Guide learners in developing portfolio projects and preparing for interviews.
• Evaluate learner progress and provide constructive feedback.
• Resolve technical doubts and support learners throughout the training program.
• Prepare course materials, presentations, exercises, and project documentation.
• Keep course content updated with current industry trends and technologies.

Specialization 1: Data Science Trainer

Required Skills:

• Python programming.
• NumPy, Pandas, Matplotlib, and Seaborn.
• Statistics and probability.
• Data cleaning and exploratory data analysis (EDA).
• Machine learning algorithms using Scikit-learn.
• Feature engineering and model evaluation.
• Basic deep learning and predictive analytics.
• Jupyter Notebook or Google Colab.

Specialization 2: Data Engineering Trainer

Required Skills:

• Strong SQL and Python programming.
• ETL/ELT pipeline development.
• Data warehousing and data modeling.
• Apache Spark and PySpark.
• Apache Airflow or similar orchestration tools.
• Data lakes, batch processing, and data integration.
• Cloud data platforms such as AWS, Azure, or GCP.
• Experience with Databricks, Snowflake, or equivalent platforms is preferred.

Specialization 3: Data Analyst Trainer

Required Skills:

• Advanced Excel, including lookup functions and pivot tables.
• SQL queries, joins, subqueries, and aggregations.
• Power BI or Tableau.
• Data cleaning, transformation, and visualization.
• Dashboard development and KPI reporting.
• Exploratory data analysis and business reporting.
• Basic Python for data analysis is an advantage.

Specialization 4: Business / Analytics Trainer

Required Skills:

• Business analytics and analytical thinking.
• Excel-based reporting and data analysis.
• SQL and business data interpretation.
• Power BI or Tableau dashboards.
• KPI tracking, trend analysis, and performance reporting.
• Requirements gathering and translating business questions into insights.
• Knowledge of statistics, forecasting, and business case studies.

Eligibility Criteria

• Bachelor's or Master's degree in Computer Science, IT, Statistics, Data Science, Engineering, or a related discipline.
• Relevant industry experience in the selected specialization.
• Prior teaching, mentoring, or corporate training experience is preferred.
• Strong verbal communication and presentation skills.
• Ability to explain complex concepts to beginners and experienced learners.

Engagement Details

• Online training for students, fresh graduates, and working professionals.
• Full-time, part-time, or freelance opportunities.
• Flexible schedules based on batch timings and mutual agreement.
• Compensation negotiable based on expertise, experience, and training hours.

Application Process

Interested candidates should submit an updated resume highlighting their specialization, technical skills, industry experience, previous training experience, project portfolio, availability, and expected compensation.

Apply now to help learners build practical, industry-ready skills in Data Science, Data Engineering, and Analytics.

Send your resume at [email protected]