Data Analytics Lab Trainer - London, United Kingdom - Ekascloud

Description

• Per Month To 35,000/
• Per Month

• Design and develop interactive lab exercises and projects to reinforce data analytics concepts and techniques using tools such as Power BI, Excel, SQL, and Python.
• Facilitate lab sessions both in-person and virtually, guiding participants through hands-on activities and providing real-time assistance and support as needed.
• Create and maintain lab environments, ensuring that all necessary software, datasets, and resources are readily available for participants to use during training sessions.
• Collaborate with the curriculum development team to integrate lab exercises seamlessly into training programs, aligning with learning objectives and outcomes.
• Assist participants in troubleshooting technical issues, debugging code, and overcoming challenges encountered during lab activities.
• Stay up-to-date with the latest advancements and best practices in data analytics tools and technologies, incorporating new features and functionalities into lab exercises.
• Evaluate participants' performance and progress through lab assessments, projects, and practical demonstrations, providing constructive feedback and guidance for improvement.
• Assist in marketing and promoting lab-based training offerings, including creating promotional materials and participating in outreach activities to attract new participants.

• Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience working as a Data Analyst, Data Scientist, or in a similar role, with expertise in data analysis, visualization, and manipulation.
• Proficiency in data analytics tools such as Power BI, Excel (including advanced functions and formulas), SQL (for data querying and manipulation), and Python (for data analysis and scripting).
• Experience designing and delivering hands-on training sessions or lab-based workshops, preferably in a corporate or educational setting.
• Strong problem-solving skills and attention to detail, with the ability to troubleshoot technical issues and provide effective solutions.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts in a clear and concise manner.
• Passion for teaching and mentorship, with a genuine desire to help others succeed in their data analytics journey.