Data Analytics and Visualization Instructor at Rise Networks

Rise Networks is a leading Data and Artificial Intelligence for Development Social Enterprise dedicated to the tech education and skills of people, digital transformation of organizations and innovation adoption in the public sector with the goal of leveraging some of the technologies of the fourth Industrial Revolution to solve some of Nigeria & Africa’s most complex problems. With years at the forefront of learning development, research and human-centered innovation, we understand the game-changing strategies for accelerating the growth of people’s lives and careers, businesses, non-profits, governments and the world in general.

We are recruiting to fill the position below:

Job Title: Data Analytics and Visualization Instructor

Location: Lagos
Employment Type: Full-Time (Onsite)

Job Overview

• Are you passionate about empowering others through data storytelling? Do you possess the skills to transform complex data insights into clear, actionable knowledge? Are you a natural communicator who thrives in a dynamic learning environment? If you see yourself fueling the next generation of data whizzes, then we want you on our team.
• We're seeking a talented Data Analytics and Visualization Instructor (Full-Time) to join our growing team and play a pivotal role in shaping the future of data-savvy professionals. You'll be responsible for designing and delivering engaging data analytics and visualization courses, equipping students with the essential skills and knowledge to navigate the ever-evolving world of data.

Scope of Work

• The scope of work encompasses delivering assigned courses, crafting engaging materials, facilitating assessments, providing feedback, offering student support, and contributing to program and curriculum development, all while adhering to professionalism, data privacy, and intellectual property standards.

Responsibilities

• Design and create comprehensive learning materials, including lectures, design exercises, tutorials, and assessments, that align with assigned lesson plans and course objectives.
• Deliver data analytics and visualization courses as scheduled, adhering to the outlined syllabus and ensuring all topics are covered comprehensively.
• Demonstrate excellent presentation and communication skills, engaging students effectively and fostering a positive learning environment.
• Possess prior experience in teaching or training, enabling effective delivery of complex subject matter and catering to diverse learning needs.
• Collaborate closely with staff and colleagues, sharing knowledge and resources to enhance the quality of instruction and improve student outcomes.
• Assess student learning using various assessment methods such as assignments, quizzes, and exams, while providing timely and actionable feedback.
• Be accessible to students during designated office hours or by appointment, offering guidance and support throughout their learning journey.

Who you are (Requirements)

• 3+ years of professional experience in data analytics and visualization.
• Bachelor's degree in a relevant field, such as Statistics, Mathematics, Computer Science, Information Technology, or a related discipline.
• Possess prior experience in teaching or training, enabling effective delivery of complex subject matter and catering to diverse learning needs.
• Proficiency in data analysis and visualization tools, including Python, R, SQL, data manipulation libraries (e.g., Pandas), and visualization libraries (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data storage and analysis is a plus.
• Strong understanding of data analysis methodologies and best practices.
• Excellent communication (written and verbal) and presentation skills. Ability to effectively deliver complex subject matter to diverse learners.
• Experience with developing and implementing various assessment methods (assignments, quizzes, exams) and providing constructive feedback.
• Strong organizational abilities with a focus on prioritization, meeting deadlines, and maintaining meticulous attention to detail.
• Collaborative spirit and ability to work effectively with colleagues and students to achieve common goals.

Application Closing Date
17th June, 2024.

Method of Application
Interested and qualified candidates should send their authentic, brief but concise CVs to: [email protected] using the Job Title as the subject of the email.