you're invited to apply to this job
Anudip Foundation For Social Welfare
Data Analyst Trainer
Bengaluru
2 - 4 years
3.0 lacs - 4.5 lacs
In office
Technical Training
Apply now
Job description
Position: Data Analytics Trainer
Department:
Reporting To:
Location:
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 programs 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 Responsibilities
1. 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 Candidate Can Drop Resume [email protected] or Can Call 7719258239
