Data Analytics Trainer

As a Data Analytics Trainer, you will be responsible for conceptualizing and delivering high-caliber training initiatives in data analytics. Your role will involve leveraging a range of tools and techniques to facilitate student learning and skill development. You will instruct students in the art and science of data analysis, visualization, and interpretation using various software applications. In this position, you will create, refine, and maintain comprehensive training materials, including detailed lesson plans, exercises, and assessments to support student learning outcomes. Evaluating student progress will be a key aspect of your responsibilities, providing constructive feedback, guidance, and support to ensure academic success and skill mastery. It is essential that you stay updated on the latest advancements and innovations in data analytics to incorporate relevant developments into training programs. This will help ensure the currency and relevance of the training content you deliver to students. To be successful in this role, you should have proven experience in data analytics and teaching, with a strong background in data analysis, visualization, and statistical analysis. Advanced knowledge of data analytics tools, techniques, and methodologies is required, including proficiency in data visualization, statistical modeling, and data mining. Excellent communication, interpersonal, and presentation skills are crucial for effectively conveying complex concepts in a clear, concise, and engaging manner. You should also possess the ability to design, develop, and deliver engaging and effective training programs by leveraging a variety of instructional strategies and techniques. Experience with online learning platforms, tools, and technologies such as learning management systems, virtual classroom software, and multimedia resources will be beneficial for this role. The job type is Full-time and Permanent, with benefits including cell phone reimbursement and a yearly bonus. The work schedule is during the Day shift, and proficiency in English is preferred. The work location is in person.,