Campus Technologies Limited is a multi-product consulting firm that provides Information Technology consulting services across various industry sectors. We are a provider of Information Management and Technology solutions in Nigeria providing solutions that enable individuals and organizations to transform their businesses. Our clients are varied; they include large, small and medium sized businesses, governmental and non-governmental institutions, agencies and departments. Campus Technologies Limited is an indegenous company with international affiliations with world-class Solution & Service providing organizations such as NIIT India. We help our clients identify, implement, and manage modern technologies.
Job Description
- We are looking for an experienced and enthusiastic Data Analytics Instructor to join our team.
- The successful candidate will possess a deep understanding of data analytics and a passion for teaching.
- As a Data Analytics Instructor, you will design and deliver comprehensive courses that prepare students for careers in data analytics, helping them gain the skills needed to analyze data effectively and make informed business decisions.
Responsibilities
- Develop and deliver data analytics curriculum, including data visualization, statistical analysis, data mining, and machine learning.
- Conduct engaging and interactive classroom sessions, workshops, and hands-on labs.
- Provide mentorship and guidance to students, assisting them with their projects and career development.
- Assess and evaluate students' progress through assignments, projects, and exams.
- Stay current with industry trends and advancements in data analytics and integrate these into the curriculum.
- Collaborate with other instructors and staff to enhance the overall learning experience for students.
Qualifications
- Bachelor's Degree in Data Science, Statistics, Computer Science, or a related field (or equivalent work experience).
- 2 years experience. as a data analyst or data scientist with a strong portfolio of data analysis projects.
- Proficiency in data analytics tools and technologies such as Python, R, SQL, Tableau, Power BI, or similar.
- Knowledge of statistical methods, data visualization techniques, and machine learning algorithms.
- Experience with programming in R and machine learning.
- Excellent communication and presentation skills.
- Previous teaching or mentoring experience is a plus.
- A passion for education and helping students succeed.
Method of Application
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