Data Analytics Trainer

Main Objectives:

• Primarily focused on the design and implementation of a comprehensive curriculum in data analytics, with an emphasis on Excel and Power BI.
• Facilitate engaging learning and training activities for diverse groups of learners.
• Provide support and assistance to the senior trainer in various training-related tasks.

Key Responsibilities:

1. Curriculum Design:
   • Develop a detailed curriculum for data analytics training, prioritizing Excel and Power BI while integrating elements of SQL Server, Python, and Tableau.
   • Ensure the curriculum is aligned with current industry standards and effectively addresses the learning needs of participants.
   • Regularly update the curriculum to incorporate new tools, features, and best practices in data analytics.
2. Learning and Training Activities:
   • Conduct training sessions, workshops, and seminars that are engaging, informative, and tailored to the skill levels of participants.
   • Design and implement practical exercises, case studies, and projects that enable learners to apply their knowledge in real-world scenarios.
   • Utilize a variety of teaching methods and tools to cater to different learning styles and maximize learner engagement.
3. Assistance to Senior Trainer:
   • Collaborate with the senior trainer to plan and execute training sessions.
   • Assist in the preparation of training materials, presentations, and resources.
   • Provide support during training sessions, including managing logistics, facilitating group activities, and addressing learner queries.
4. Learner Support and Feedback:
   • Offer personalized support to learners, assisting them in overcoming challenges and understanding complex concepts.
   • Collect and analyze feedback from participants to continuously improve the training process and content.
5. Professional Development:
   • Stay abreast of the latest developments in data analytics tools and techniques.
   • Engage in continuous learning and professional development to enhance personal training skills and technical expertise.

Qualifications:

• Solid knowledge and experience in Excel and Power BI, and familiarity with SQL Server, Python, and Tableau.
• Strong instructional and presentation skills, with the ability to effectively communicate complex information.
• Experience in curriculum design and training, preferably in a data analytics context.
• A degree in a relevant field such as Computer Science, Data Science, Statistics, or Business Analytics.

Preferred Skills:

• Certification in data analytics tools (e.g., Microsoft Certified: Data Analyst Associate).
• Creative problem-solving and analytical skills.
• Ability to work collaboratively with a senior trainer and contribute positively to the training team.

This role is ideal for someone passionate about teaching and data analytics, with a strong focus on developing effective learning experiences and supporting the training team in delivering high-quality education in data analytics.