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Data Analytics Instructor

SkilloVilla

Bangalore BazaarFull-timeMid LevelOn-site

Job Description

We're Hiring: Data Analytics Instructor | SkilloVilla

Are you passionate about Data Analytics and excited about helping learners build successful careers in the analytics domain? If you enjoy mentoring, teaching, and simplifying complex concepts into practical learning experiences, we'd love to hear from you!

At SkilloVilla, we're on a mission to bridge the gap between education and employability through industry-relevant learning experiences and expert mentorship.


Position Details

  • Role: Data Analytics Instructor
  • Location: JP Nagar, Bengaluru
  • Employment Type: Full-Time
  • Experience: Freshers to 2 Years
  • CTC: โ‚น5 LPA โ€“ โ‚น8 LPA
  • Working Days: 6 Days a Week
  • Joining: Immediate Joiners Preferred


What You'll Do

As a Data Analytics Mentor, you will:

  • Deliver engaging and interactive Data Analytics training sessions.
  • Mentor students on projects, assignments, case studies, and real-world applications.
  • Conduct doubt-clearing sessions and provide one-on-one guidance.
  • Monitor student progress and provide constructive feedback.
  • Conduct mock interviews and career guidance sessions.
  • Assist learners with portfolio development and resume building.
  • Collaborate with academic and operations teams to ensure student success.
  • Contribute to curriculum development, assessments, and learning content.


Technical Skills Required

You should have strong knowledge of:

  • Advanced Excel
  • SQL
  • Python for Data Analytics
  • Statistics & Data Interpretation
  • Tableau and/or Power BI
  • Data Cleaning & Data Transformation
  • Exploratory Data Analysis (EDA)
  • Business Analytics Concepts


Eligibility

  • Bachelor's or Master's Degree in: Data Analytics & Data Science


Freshers Can Apply

Fresh graduates with:

  • Strong Data Analytics fundamentals
  • Excellent communication and presentation skills
  • Passion for teaching and mentoring
  • Practical project experience in analytics tools and technologies are highly encouraged to apply.

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