Job Title: Trainer – Data Analytics & Python Trainer

Key Responsibilities1. Program Delivery & Technical Facilitation

● Training Delivery & Academic Excellence

● Deliver structured instructor-led and blended sessions covering IT & Data Fundamentals, Advanced Excel, SQL, Power BI/Tableau, Business Analysis, ETL concepts, and Basic Statistics.

● Facilitate hands-on practice, mini projects, and capstone assignments using real-world datasets.

● Train learners in dashboard development, SQL querying, Power Query automation, DAX basics, and business documentation standards.

● Integrate AI-enabled analytics tools into the learning journey while ensuring responsible usage.

● Simplify complex technical concepts for first-generation graduates.

● Contribute effectively in the program success by ensuring good placement outcomes as per defined matrices.

3. Industry Alignment & Placement Support

● Align curriculum, assignments, and capstone projects with hiring trends.

● Incorporate business use cases reflecting real-world problem statements.

● Collaborate with placement teams to enhance job readiness and conversion rates.

● Collaborate with the content team to update content regularly based on employer feedback and emerging analytics trends.

Technical Competency Requirements Must-Have

● Advanced Excel & Data Processing

- Advanced formulas, lookup functions, pivot tables, dashboard creation.
- Data cleaning, validation, and transformation techniques.
- Power Query for automation and structured workflows.





● SQL & Database Management
- Solid SQL querying (joins, subqueries, aggregation, views).
- RDBMS fundamentals and relational data modeling.

● Business Intelligence
- Hands-on experience with Power BI or Tableau.
- Data modeling, dashboard design, and DAX basics (for Power BI).

● Statistics & Analytical Thinking
- Descriptive statistics, correlation, hypothesis testing fundamentals.
- Ability to interpret statistical output for business decisions.

● AI-Enabled Analytics
- Understanding of Generative AI and structured prompt writing.
- Responsible AI usage and data ethics awareness.

Good-to-Have

● ETL workflow exposure and data pipeline concepts.

- Query optimization and JSON/NoSQL familiarity.
- Experience using Google Colab for dataset exploration and Python-based analysis (Pandas, NumPy).
- Exposure to AI-assisted analysis using Gemini within Colab.
- Experience using Julius AI for conversational data analysis and automated insight generation.

Eligibility Criteria

● Bachelor’s or Master’s degree in Computer Science, IT, Data Science, Statistics, Mathematics, or related discipline

● 2–5 years of practical experience in Data Analytics or Business Analysis

● Prior training or facilitation experience preferred

● Experience in CSR, NGO, or government skilling initiatives is an added advantage

Interested candidates can share the updated resume to [email protected] and contact on- (phone hidden)

📌 Data Analytics Trainer (Hyderabad)
🏢 Anudip Foundation
📍 Hyderabad