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.