Mentor - Data Analyst

Company Description MinAI Education is a comprehensive AI learning platform offering structured, high-quality courses designed for practical skill development. Learners progress through real-world projects, weekly challenges, and clear career pathways tailored to AI and data-focused roles. The platform combines self-paced learning with guided support to help learners build job-ready competencies. An AI Tutor is available 24/7 to answer questions, provide feedback, and enhance the learning experience for a diverse global community of aspiring AI and data professionals.

Role Description As a Mentor - Data Analyst at MinAI Education, you will support learners as they build practical data analytics skills through projects, exercises, and weekly challenges. This part-time, remote role involves reviewing learners’ work, providing constructive feedback, and guiding them on best practices in data cleaning, analysis, and visualization. You will host live or virtual mentoring sessions, answer questions in discussion channels, and help learners understand core concepts such as exploratory data analysis, metrics, dashboards, and storytelling with data. You will also collaborate with the education team to refine learning materials, suggest improvements to assignments, and share insights on common learner difficulties. The role requires consistent availability during agreed time slots and a learner-centered, inclusive approach to mentoring.

Qualifications

• Strong foundation in data analysis, including data cleaning, exploratory data analysis, and interpreting quantitative results.
• Proficiency with analytical tools such as spreadsheets (e.g., Excel or Google Sheets), SQL, and at least one data-focused language (e.g., Python or R).
• Experience creating charts, dashboards, and reports using data visualization tools or libraries (e.g., Tableau, Power BI, or Matplotlib/Seaborn).
• Ability to explain complex technical concepts in clear, simple language to learners at different levels.
• Prior experience mentoring, teaching, or coaching in data analytics or a related field is highly beneficial.
• Familiarity with real-world analytics use cases in business, product, or operations environments.
• Strong written and verbal communication skills in English, with an inclusive, supportive, and feedback-oriented mindset.
• Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics) or equivalent practical experience.