Data Analytic Mentor

Location:

Employment Type: Full-TimeExperience: 2+ Years in Data Analytics and Technical Training

• Deliver comprehensive training sessions on data analytics concepts, tools, and methodologies (including Python, SQL, Excel, Tableau, Power BI, and foundational statistics).
• Guide learners through hands-on exercises, real-world case studies, and capstone projects to ensure practical understanding and job readiness.
• Develop, update, and enhance curriculum content, lesson plans, and assessments in line with industry standards and learner needs.
• Provide mentorship, technical support, and constructive feedback to students, helping them overcome learning challenges and achieve their career goals.
• Regularly assess learner progress, create and grade assignments/quizzes, and provide actionable feedback.
• Foster an inclusive, collaborative, and positive learning environment that accommodates diverse learning styles.
• Stay current with industry trends, analytics tools, and best practices, integrating them into the curriculum.
• Collaborate with other instructors, curriculum developers, and placement teams to ensure high-quality training and successful student outcomes.
  

Required Skills & Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• 2+ years of professional experience in data analytics, including data cleaning, analysis, visualization, and reporting.
• Proficiency in Python (especially pandas), SQL, Excel, Tableau, and Power BI.
• Solid understanding of statistics, data wrangling, and data-driven storytelling.
• Experience in training, mentoring, or teaching data analytics to students or professionals.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and adapt teaching methods to suit varied learning needs.
  

Preferred Skills

• Experience with R, SAS, or advanced machine learning concepts.
• Familiarity with web scraping tools and techniques.
• Certified Trainer credentials (e.g., Train the Trainer) are a plus.
  

• Opportunity to shape the next generation of data professionals.
• Collaborative and innovative work environment.
• Competitive compensation and professional growth opportunities.