We are looking for an experienced and practically skilled Data Analytics Faculty/Trainer who can effectively handle the complete curriculum and provide quality, hands-on training to students.

Key Responsibilities
Deliver comprehensive training in Python, SQL, Excel, Power BI, Tableau, Statistics, and Exploratory Data Analysis (EDA).
Provide practical training in Python programming, including data types, functions, OOP concepts, file handling, exception handling, NumPy, Pandas, Matplotlib, and Seaborn.
Cover Statistics and Data Analysis, including descriptive statistics, probability, distributions, correlation, regression, hypothesis testing, t-tests, and chi-square tests.
Train students in Excel-based data analysis, including data cleaning, VLOOKUP, logical functions, Pivot Tables, charts, dashboards, and practical projects.
Handle Power BI topics including data loading and transformation, Power Query, data modelling, DAX, visualizations, dashboards, reporting, optimization, and real-world projects.
Train students in Tableau, including data connections, sets, groups, filters, joins, data blending, calculations, dashboards, stories, and predictive models.




Deliver SQL/RDBMS training covering database concepts, queries, filtering, aggregation, joins, subqueries, normalization, views, transactions, stored procedures, triggers, and window functions.
Guide students in EDA using Python, including data exploration, missing-value handling, distributions, patterns, outliers, and visualization.
Mentor students through mini projects and the final capstone project, focusing on data collection, preprocessing, analysis, insights, and presentation.

Requirements
1–2 years of experience as a Data Analytics Trainer/Faculty.
Robust practical knowledge of the above tools and technologies.
Ability to independently handle the complete syllabus and student requirements.
Excellent communication, presentation, and teaching skills.
Robust hands-on and problem-solving approach with the ability to demonstrate concepts using practical examples.
Ability to maintain high training quality and provide effective student support.

Perks:
Work from home

Work Location: Remote

📌 Data Analytics Faculty Kozhikode
🏢 COMBUS EDU SOLUTIONS
📍 Kozhikode