Trainer of Data; Data Engineering, Data Visualization and Data Science

About The Role

We are Smart Cyber, a member of Cybertrend, one of the leading data science consultants in Indonesia. At CYBERTREND, we bridge the gap between education and industry. We understand that relevant competencies are crucial in an ever-evolving workforce. Our mission is to create an educational and training ecosystem that aligns with industry needs, producing top-tier talents ready to compete globally.

As a TRAINER FOR DATA ENGINEERING, DATA VISUALIZATION, AND DATA SCIENCE
, you will be part of the core team, contributing to building the institution towards success and accelerating your professional career through competency certification.

• Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field.
• Minimum of 2 years of work experience in data engineering, data visualization, and data science. Experience as a trainer or instructor is preferred.
• Deep understanding of data tools and technologies such as SQL, No
  
  SQL, Hadoop, Spark, Tableau, Power BI, Python, R, Tensor Flow, and Keras.
• Solid understanding of cloud computing platforms and services.
• Ability to create and deliver engaging and informative presentations.
• Data analysis skills and experience in developing predictive models.

• Develop Training Material:
  • Design comprehensive training curricula for data engineering, data visualization, and data science.
  • Regularly update training materials to keep pace with technological advancements and industry needs.
• Content Adaptation:
  • Tailor training materials to meet the diverse needs of participants.
• Deliver Training:
  • Conduct training sessions in-person or via online platforms.
  • Use effective teaching methods to ensure participant understanding.
• Interactive Learning:
  • Incorporate hands‑on exercises, real‑world scenarios, and interactive discussions.
• Assessment and Feedback:
  • Evaluate participant progress through tests, assignments, and projects.
  • Provide constructive feedback to help participants enhance their skills.
• Continuous Improvement:
  • Implement feedback mechanisms to enhance training quality and effectiveness.
• Coaching and Mentoring:
  • Provide individual and group coaching to training participants.
  • Assist participants in understanding complex concepts and applying them to real‑world projects.
• Skill Development:
  • Foster a supportive learning environment that encourages skill enhancement.
• Documentation and Reporting:
  • Manage training documentation, such as attendance records, evaluation results, and certificates.
  • Report training progress and outcomes to management.
• Stay Updated:
  • Keep abreast of the latest trends and developments in data technology.
  • Attend seminars, workshops, and additional training to enhance knowledge and skills.

• The unique opportunity to work within data science and artificial intelligence solution for various industries – real world data science, AI, Data Management and Governance experiences.
• Investment in your personal growth and skill development (clear career paths, mentorship and coaching, learning development, etc).
• Attractive compensation and benefits packages.
• An open‑minded culture with innovative, autonomous teams.
• A clear set of company core values that guide everything we do: GROWTH mindset, SOLUTION oriented, INNOVATIVE achiever, COMPASSIONATE, GOTONG ROYONG and Cool & FUN.