Data Analytics & Python Trainer

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
• Strong 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 riya.bhattacharjee@anudip.org and contact on- 9674509000

Work arrangement
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