Data Analytics Trainer

Immediate requirement

Location: ExcelR Solutions, Cyber towers, Hyderabad .

Duration: 60 working days (180hrs)

Start Date: 24 October 2025

Job Summary:

We are seeking an experienced and passionate Data Analytics Trainer to deliver high-quality training in our 180-hour Data Analytics program, spanning 3 months. The ideal candidate will have deep expertise in Advanced Excel, Power BI, Tableau, MySQL, Python for Data Analysis, and foundational Machine Learning concepts. The trainer will facilitate both theoretical and practical sessions, guide students through hand projects, and prepare them for real-world data an challenges across domains like finance, healthcare, commerce, and more.

Key Responsibilities:

Deliver Training Modules: Conduct engaging interactive sessions covering the following:

Advanced Excel : Teach cell referencing, arithmetic/logical/lookup functions, data validation, pivot tables, charts, dashboards, and Power Query/Power Pivot.

Power BI : Guide students through data loading, visualization (column/line charts, conditional formatting), Power Query Editor, DAX expressions, and dashboard creation.

Tableau : Training on data visualization, filters, calculations (basic, LOD, table), custom charts, and dashboard actions, including Tableau Public integration.

MySQL : Instruct on SQL commands (DDL, DML, DOL, TCL), joins, indexes, views, stored procedures, triggers, and sub-queries.

Python for Data Analysis : Teach Python basics, data types, pandas for EDA visualization with matplotlib/seaborn, wrangling.

Introduction to Machine Learning : Cover statistics, hypothesis testing, EDA, linear/logistic regression, clustering, feature engineering, and model validation.

Required Qualifications:

Education: Bachelor's/Master's degree in Data Science, Computer Science, Statistics, or a related field.

Experience:

3+ years of professional experience in data analytics or data science.

1+ years of training or teaching experience in data analytics tools (Excel, Power BI, Tableau, MySQL, Python).

Hands-on experience with machine learning concepts and Python libraries (pandas, matplotlib, seaborn).

Technical Skills:

Proficiency in Advanced Excel (VLOOKUP, INDEX-MATCH, Pivot Tables, Power Query).

Expertise in Power BI (DAX, Power Query, dashboard creation) and Tableau (LOD calculations, custom charts).

Strong knowledge of MySQL (joins, stored procedures, triggers) and Python (pandas, data visualization).

Familiarity with machine learning concepts (regression, clustering, feature engineering).

Preferred Qualifications:

Industry experience in domains like finance, healthcare, e-commerce, or supply chain analytics.

Certifications in Power BI, Tableau, or Python (e.g., Microsoft Certified: Data Analyst Associate

Experience with capstone project mentoring data analytics or machine learning

Note: Mode of delivery is offline.