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.

- Strong practical knowledge of the above tools and technologies.

- Ability to independently handle the complete syllabus and student requirements.

- Excellent communication, presentation, and teaching skills.

- Strong 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