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Data Analytics mentor

India

CVData Analytics Mentor / Part-time Trainer

Position: Data Analytics Mentor / Trainer (Part-time)

Experience Required: 4+ years of real-time professional experience in Data Analytics

Location: [Specify – Onsite/Remote/Hybrid]

Availability: Weekends & Part-time basis

About the Role:

We are looking for an experienced Data Analytics professional to join as a Mentor/Trainer. The ideal candidate will have hands-on industry experience and a passion for guiding learners through practical concepts and real-time project scenarios. Prior training experience will be considered a strong advantage.

Key Responsibilities:

  • Conduct interactive training sessions on Data Analytics tools, technologies, and concepts.
  • Mentor learners in understanding real-world case studies, projects, and best practices.
  • Develop and deliver curriculum content, assignments, and assessments.
  • Provide guidance on career pathways, industry applications, and interview preparation.
  • Stay updated with the latest industry trends and integrate them into training.

Required Skills & Experience:

  • Minimum 4+ years of professional experience in Data Analytics.
  • Hands-on expertise in tools such as SQL, Excel, Power BI/Tableau, Python (Pandas, NumPy, Matplotlib/Seaborn).
  • Strong knowledge of data cleaning, visualization, reporting, and business problem-solving.
  • Exposure to real-time analytics projects and industry use cases.
  • Excellent communication and presentation skills.
  • Prior training/mentorship experience is an added advantage.

Nice to Have (Optional):

  • Knowledge of Machine Learning basics.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Certification(s) in Data Analytics or related fields.

Work Schedule & Compensation:

  • Part-time role, with focus on weekend sessions.
  • Flexible working hours during weekdays (if available).

Kindly Share Your CV:
+91 - 6374808456

Job Types: Part-time, Freelance

Pay: Up to ₹10,000.00 per month

Expected hours: No more than 3 per week

Benefits:

  • Flexible schedule
  • Work from home

Work Location: Remote

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