Position: Data Analytics Trainer
Department: Training & Operation
Reporting To: Master Trainer
Location: Ahmedabad
Role Summary
We are looking for a technically proficient and impact-driven Data Analytics Trainer Center Model
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 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.
**Interested Candidates Can Mail [email protected] or Call 7719258239
Pay: ₹360,000.00 - ₹650,000.00 per year
Work Location: In person