Data Analyst Trainer

Job Title: Data Science & Data Analysis Trainer

Experience Required: 3+ Years

Location: Pune On-site

Employment Type: Full-time

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About the Role

We are looking for an experienced Data Science & Data Analysis Trainer who is passionate about teaching and mentoring students or working professionals in data-driven technologies. The ideal candidate should have strong hands-on experience in data analysis, machine learning, and visualization tools, with the ability to explain complex concepts in a simple and practical manner.

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Key Responsibilities

Deliver comprehensive training sessions on Data Analysis, Data Science, and Machine Learning concepts.

Teach Python for Data Analysis, Statistics, Exploratory Data Analysis (EDA), and Data Visualization.

Design, develop, and implement training materials, case studies, projects, and assignments.

Guide learners through hands-on exercises, real-world datasets, and capstone projects.

Conduct live classes, doubt-solving sessions, assessments, and evaluations to track learner progress.

Stay updated with the latest tools, libraries, and trends in Data Science and Analytics.

Assist in curriculum design, improvement, and content review.

Mentor students on real-time projects such as business dashboards, predictive models, and data-driven decision-making use cases.

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Technical Skills Required

Data Analysis

Python, Pandas, NumPy

Data Cleaning, Data Wrangling, EDA

Data Visualization: Matplotlib, Seaborn, Plotly

Excel (Advanced)

SQL (MySQL / PostgreSQL)

Data Science & Machine Learning

Statistics & Probability

Machine Learning algorithms (Regression, Classification, Clustering)

Scikit-learn

Model evaluation & feature engineering

Basic understanding of Deep Learning (optional)

Visualization & BI Tools

Power BI / Tableau

Dashboard creation and storytelling with data

Tools & Environment

Jupyter Notebook, VS Code

Git & GitHub

Anaconda

Google Colab

NLP, Time Series Analysis

MLOps fundamentals (optional)

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Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field.

Minimum 3 years of industry or training experience in Data Science / Data Analysis.

Strong command over Python, SQL, and data visualization tools.

Prior experience in teaching, mentoring, or corporate training is highly desirable.

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Soft Skills

Excellent verbal and written communication skills.

Strong analytical thinking and problem-solving ability.

Passion for teaching and mentoring learners.

Ability to explain complex topics in a simple, real-world manner.

Capability to engage and motivate learners with different backgrounds and skill levels.

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Benefits

Competitive salary / per-session compensation.

Flexible working hours.

Opportunity to create real impact by shaping data professionals.

Exposure to diverse learners and real-world projects.