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 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 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 share the updated resume to [email protected] and contact on- 9674509000
Pay: ₹200,000.00 - ₹700,000.00 per year
Benefits:
Ability to commute/relocate:
- Bhopal, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):
- Are you comfortable for contract based role?
Experience:
- training: 2 years (Preferred)
- Data analytics: 2 years (Preferred)
- Power BI: 2 years (Preferred)
- Advanced excel: 2 years (Preferred)
Location:
- Bhopal, Madhya Pradesh (Preferred)
Willingness to travel:
Work Location: In person
