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Data Analytics Faculty

5 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Description: Data Analyst Faculty (Education & Training Role)

Location: Noida, India

Organization: IIM SKILLS

Experience Required: Minimum 5 Years in Data Analytics Industry

Employment Type: Full-Time

Position Level: Senior Management (Teaching + Product Strategy Focus)


About IIM SKILLS

IIM SKILLS is a leading online education platform, committed to providing world-class professional courses across diverse domains including Finance, Marketing, Writing, Analytics, and more. With a strong focus on practical learning and industry-oriented training, we empower individuals to build successful careers. Our vision is to bridge the gap between theoretical knowledge and industry demands by nurturing real-world skills.

We are growing our Data Analytics vertical and are looking for passionate educators and mentors to lead the future generation of data professionals.


Role Overview

We are looking for a Senior – Data Analytics to join our leadership team.

This role is designed for a highly experienced Data Analytics professional who is passionate about teaching, mentoring, product development, and building student futures — not for those looking for a traditional analytics delivery job.

The ideal candidate should have a strong technical background, excellent communication skills, and a commitment to education.


Key Responsibilities

  • Course Development & Product Strategy
  • Design, enhance, and upgrade our Data Analytics course curriculum.
  • Build the course structure and content around tools like Excel, Tableau, Power BI, Alteryx, R, and other emerging technologies.
  • Work closely with the management to strategize marketing and positioning of the course.
  • Live Product Demonstrations
  • Host daily demo sessions to showcase the course structure, curriculum highlights, and outcomes to prospective students.
  • Effectively communicate the value proposition and address participant queries.
  • Teaching and Mentoring
  • Deliver live online classes, workshops, and doubt-clearing sessions on Data Analytics.
  • Mentor and guide students throughout their learning journey, providing practical industry insights.
  • Evaluate student performance and provide regular feedback to help them improve.
  • Thought Leadership
  • Represent IIM SKILLS at webinars, internal events, and online communities as a subject matter expert.
  • Stay updated with the latest industry trends, analytics tools, and methodologies.
  • Make online videos for marketing purpose.


Eligibility Criteria

  • Experience:
  • Minimum 5 years of working experience in the Data Analytics field.
  • Strong hands-on expertise in Excel, Tableau, Power BI, Python, Alteryx, R.
  • Highly preferable if individual has a sales background as well.
  • Education:
  • Bachelor’s/Master’s degree in Data Analytics, Statistics, Computer Science, or related fields.
  • Location:
  • Must be based in Noida, India.
  • Skills:
  • Strong presentation and communication skills.
  • Ability to simplify complex concepts for beginners.
  • High energy, approachable, and student-focused attitude.
  • Strategic thinking for product positioning and marketing initiatives.


Who Should Apply?

  • Individuals passionate about teaching, mentoring, and building careers in Data Analytics.
  • Professionals who enjoy student interaction more than working behind corporate dashboards.
  • Those willing to take ownership of course quality, student experience, and institutional growth.

If you are looking for a traditional "corporate data analytics job," this role is not for you.



Why Join IIM SKILLS?

  • Opportunity to shape the future of aspiring data analysts.
  • Leadership role in a reputed EdTech platform.
  • Dynamic and entrepreneurial work environment.
  • Impact-driven work focused on education and empowerment.


Job Type: Full-time

Pay: 8 - 12 LPA


Benefits:

  • Cell phone reimbursement
  • Food provided
  • Health insurance
  • Internet reimbursement
  • Leave encashment

Schedule:

  • Day shift
  • Fixed shift

Supplemental Pay:

  • Performance bonus
  • Yearly bonus

Work Location: In person


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