Основная информация о компании
- Полное наименование компании
- Singapore Skills Academy
- Организационно-правовая форма
- Общество с ограниченной ответственностью (ООО)
- Контактное лицо
- Shohjahon Qayumiy
- Номер контактного лица
- +998944115868
- Электронная почта контактного лица
- qayumiy@aattraininghub.com
- Адрес контактного лица
- qayumiy@aattraininghub.com
- Вебсайт компании
- https://ssa.uz/
Data Analysis & Visualization Mentor (Hourly Based)
Обновлено: 11.03.2026
- Описание
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About Us – Singapore Skills Academy
Singapore Skills Academy is an international vocational training company focused on developing future-ready digital professionals.
We provide practical, industry-oriented training that helps learners build real skills for real careers. Our programs focus on analytical thinking, problem-solving, and data-driven decision making through hands-on, project-based learning.
Role Overview
We are looking for a passionate Data Analysis & Visualization Mentor who can guide students in understanding and working with real-world data.
As a mentor, you will help learners turn raw data into meaningful insights using modern data tools. This role is perfect for someone who enjoys teaching, mentoring, and helping others grow their data skills. - Основные задачи
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Key Responsibilities
• Teach practical data analysis using Excel, Python, SQL, Power BI, and Tableau
• Guide students through real-world projects and datasets
• Help students build interactive dashboards and data reports
• Encourage analytical thinking and problem-solving
• Deliver clear, engaging, and well-structured lessons
• Support students throughout their learning journey
Requirements
• Degree in Data Science, Computer Science, Statistics, Analytics, or related field (or equivalent experience)
• Experience in data analysis or data-related roles
• Experience teaching or mentoring students is a plus
• Good communication skills in English, Russian, or Uzbek
• Passion for teaching and helping others learn - График работы
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What We Offer
• Freelance collaboration (hourly-based compensation)
• Flexible teaching opportunities
• Structured curriculum and teaching support
• Opportunity for long-term collaboration
• Chance to help develop the next generation of data professionals