Data Analytics Trainer

Job Title: Data Analytics Trainer

Location: Shadnagar, Hyderabad

Duration: 3 Months (400hrs)

Job Summary

Data Analytics Trainer

Key Responsibilities

• Deliver Training Modules

  : Conduct engaging and interactive sessions covering the following:

• Advanced Excel

  (60 hours): Teach cell referencing, arithmetic/logical/lookup functions, data validation, pivot tables, charts, dashboards, and Power Query/Power Pivot.

• Power BI

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

• Tableau

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

• MySQL

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

• Python for Data Analysis

  (24 hours): Teach Python basics, data types, pandas for EDA, data visualization with matplotlib/seaborn, and data wrangling.

• Introduction to Machine Learning

  (72 hours): Cover statistics, hypothesis testing, EDA, linear/logistic regression, clustering, feature engineering, and model validation.

• CRT Training

  (54 hours): Facilitate sessions on quantitative aptitude, logical reasoning, verbal ability, and soft skills (e.g., presentation, teamwork, interview skills).

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).

• Soft Skills

  :
• Excellent communication and presentation skills.
• Ability to simplify complex concepts for beginners.
• Strong problem-solving and mentoring abilities.

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 in data analytics or machine learning.
• Familiarity with quantitative aptitude, logical reasoning, and soft skills training.

Note : Mode of delivery is offline. Transportation and Accommodation will be provided.