Data Analytics and Data Engineering with AI Trainer
- Trainer
- Data Analytics & Data Engineering with AI
Scholar’sEdge Academy · J. P. Nagar 2nd Phase, Bengaluru · On-site · Full-time
Role at a glance
- Teaches
- Data Analytics with AI (4 months + 2-month internship), plus Data Engineering foundations (5 months + 2-month internship)
- Reports to
- Founder / Academic Head
- Schedule
- live batches of 3 hours a day, Saturday labs and workshops (including the free SQL workshop), and free demo classes
- Experience
- freshers, or minimum 1 year of experience
- Salary
- ₹15,000 – ₹20,000 per month
- contact@scholarsedgeacademy.in
- Phone / WhatsApp
- +91 99020 58603
About Scholar’sEdge Academy
Scholar’sEdge Academy is a skills-and-internship institute in J. P. Nagar, Bengaluru. Every program pairs 3–5 months of live, mentor-led training with a 2-month internship on real projects. Our promise to students is simple: you’ll leave able to show what you can do, not just with a certificate. We’re early, we’re building fast, and the trainer we hire now will grow with us.
The role
You’ll take students from “I only know a little Excel” to building dashboards that managers actually use. You’ll also introduce them to the pipelines that feed those dashboards. You’ll teach them to use AI the way working analysts do now: to write and check SQL, clean messy data and explain results, while still understanding every number they present. You’ll also be the face of our data courses, in the classroom, in demo classes and in short videos on our social pages.
What you’ll do
Teach
Deliver live, hands-on classes (3 hours a day) in Data Analytics with AI and Data Engineering foundations, working on real datasets rather than slides.
Run Saturday labs, free weekend workshops (including the SQL workshop) and free demo classes for prospective students and parents.
Teach complete beginners, including BCom, BBA and BSc graduates and career switchers.
Build proof with students
Guide every student through 4–6 portfolio projects and a capstone. Examples: a sales dashboard in Power BI, a customer analysis in SQL and Python, an HR attrition study, a simple automated ETL pipeline.
Make sure every project has a GitHub repository or published dashboard, a README explaining the business question, and a short presentation of the findings.
Review work every week. Give feedback, require fixes and track each student’s progress.
Mentor students during the 2-month internship: plan project work, run daily stand-ups and check the deliverables.
Keep the course current
Help update the syllabus, datasets, assignments, quizzes and project briefs.
Run mock interviews (SQL tests, case studies, dashboard reviews), and help students build resumes and LinkedIn, GitHub and Power BI portfolios.
Be the face of the courses
Appear on camera in 1–2 short teaching videos a week. Scripts and editing support are provided.
Answer course questions honestly, and never promise jobs or salaries.
What you must know
Must have
- Advanced Excel
- XLOOKUP, pivot tables, Power Query, charts
- Strong SQL
- joins, GROUP BY, subqueries, CTEs, window functions, in MySQL, PostgreSQL or SQL Server
- Power BI
- data modelling, basic DAX, Power Query, report design
- Python for data
- pandas, NumPy, Matplotlib or Seaborn, Jupyter notebooks
Basic statistics and business thinking: averages and distributions, correlation vs causation, KPIs
Using AI tools (ChatGPT, Copilot, Claude or similar) to write and explain SQL and Python, and checking that the output is correct
Git and GitHub basics
Good to have (we’ll help you learn these)
ETL concepts and data modelling (star schema, fact and dimension tables)
Apache Spark / PySpark, Airflow, dbt
A cloud data warehouse (Snowflake, BigQuery, Redshift or Azure / Fabric)
Tableau or Looker Studio, Streamlit
Copilot in Excel and Power BI, text-to-SQL apps
Microsoft PL-300 or other data certifications
Who we’re looking for
Freshers, or minimum 1 year of experience in data analytics, BI, data engineering or a related role. Internships count.
Freshers must show real projects: at least 2 dashboards or analyses on GitHub, Kaggle or a portfolio.
Teaching, tutoring, TA or mentoring experience is a strong plus. Explaining SQL to classmates counts too.
Explains numbers in plain business language, and is patient with non-technical beginners.
Honest when they don’t know something, and careful about numbers: they check before they present.
Comfortable teaching in English. Kannada and/or Hindi is a plus.
Degree in any field (B.E., B.Tech, BCA, MCA, BSc, BCom, MBA, M.Sc.) with proven data skills.
- Not a fit
- people who only know theory with no projects to show, or who think AI means students don’t need to understand SQL.
What we offer
₹15,000 – ₹20,000 per month, paid on time, every month.
Hands-on training and mentoring in data engineering tools as you teach.
A real say in the curriculum of two growing courses.
Your own visible teaching brand, through on-camera content credited to you.
How to apply
Send your resume, your GitHub or portfolio link, one dashboard or data project and, if you have one, a short teaching video.
contact@scholarsedgeacademy.in
- +91 99020 58603
- Subject
- “Data Analytics & Data Engineering Trainer”
Hiring process
Screening (2 days): resume and portfolio check
Intro call (15 min): background, availability, expectations
Demo class (20 min + 10 min Q&A): teach a topic we send you 48 hours earlier
Technical round (45 min): a live SQL and Python task on a real dataset, plus a walkthrough of one project
Offer (2–3 days)
- Pay
- ₹15,000.00 - ₹20,000.00 per month
- Work Location
- In person
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