Position: Data Analytics Trainer

Role Summary

We are looking for a technically proficient and impact-driven Data Analytics Trainer The candidate will bridge academic learning and real-world business application by delivering structured, hands-on training in analytics and business intelligence tools. The program’s objective is to prepare learners, primarily from diverse socio-economic backgrounds for entry-level analytics roles and enable measurable employability outcomes.

Primary Objectives

● Deliver industry-relevant analytics training aligned with current employer expectations.

● Develop job-ready candidates for entry-level roles in Data and Business Analytics.

● Ensure measurable improvements in learner competency, project quality, and placement conversion.

● Maintain academic quality, compliance, and CSR reporting standards.

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 valuable 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 RequirementsMust-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 mail [email protected] or call (phone hidden)

Pay: ₹35,000.00 - ₹60,000.00 per month

Work Location: In person

📌 Data Analytics Trainer (Ahmedabad)
🏢 Anudip Foundation For Social Welfare
📍 Ahmedabad