Data Analytics Instructor
Full time
at CTTI LIMITED
in
Nigeria
Posted on January 17, 2025
Job details
We are seeking a passionate and knowledgeable Data Analytics Instructor to join our team and help aspiring professionals gain the skills they need to succeed in the rapidly growing field of data analytics. As an instructor, you will design, deliver, and support learning experiences that empower students to analyze and interpret data effectively.
Key Responsibilities: 1. Teaching & Training
- Deliver engaging and hands-on lessons on data analytics concepts, tools, and techniques.
- Guide students through practical projects that simulate real-world data challenges.
- Explain complex concepts in an accessible and relatable way to diverse learners.
- Design and update course materials, including lesson plans, slides, assignments, and projects.
- Incorporate industry best practices and the latest technologies into the curriculum.
- Ensure learning objectives align with current job market demands.
- Provide personalized feedback and support to students, fostering their development.
- Monitor student progress and offer tailored guidance to help them overcome challenges.
- Encourage collaboration and teamwork through group exercises and discussions.
- Develop and grade assessments to evaluate student understanding.
- Maintain detailed records of student performance and achievements.
- Suggest improvements to instructional strategies based on feedback and results.
- Stay updated on industry trends and tools, such as Python, R, SQL, Tableau, and Power BI.
- Collaborate with other instructors and industry professionals to enhance course offerings.
- Bachelor's degree
- Proven experience in data analytics or related roles.
- Proficiency in key tools and languages such as Python, R, SQL, Excel, Tableau, and Power BI.
- Strong presentation, communication, and organizational skills.
- Experience teaching or mentoring individuals, preferably in a classroom or online setting.
- Passion for education and a desire to inspire learners to achieve their career goals.
- Familiarity with machine learning and AI concepts.
- Experience working with large datasets and data visualization tools.
- Ability to manage hybrid learning environments (in-person and online).
- Opportunity to shape the next generation of data analysts.
- Supportive and collaborative work environment.
- Competitive compensation and professional growth opportunities.
Employment Type: Part-time
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