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Data Analytics Tutor ( Ikorodu Lagos)

Digital Skills Centre

Research, Teaching & Training

2 days ago
New

Job descriptions & requirements


Company Description

Digital Skills Centre is a technology training institute committed to bridging the digital skills gap and preparing individuals for modern career opportunities. We offer a practical, project-based curriculum designed to meet the needs of learners at various levels, from beginners to professionals. Our specialized programs, such as Data Analytics, Product Design, AI Tools, and No-Code Development, focus on equipping candidates with in-demand, job-ready skills. Whether online or on-site, we emphasize practical application to ensure our participants thrive in real-world environments. Join us to build your future with high-demand digital skills and global career opportunities.
Role Description

We are seeking a Data Analytics Tutor for a part-time, on-site role at our Ikorodu, Lagos location. The tutor will be responsible for delivering structured training on data analytics concepts, tools, and methods, including data visualization, reporting, AI-powered analytics, and practical applications. The role also involves preparing course materials, mentoring students, providing individualized support, and fostering an engaging learning environment to ensure student success. Additional duties may include conducting progress assessments and staying up-to-date with evolving data analytics trends.
Qualifications

  • Proficiency in Data Analytics tools such as Excel, Power BI, Python, and SQL
  • Strong understanding of data interpretation, visualization, reporting, and AI-powered analytics tools
  • Experience in teaching or training, with excellent presentation and mentoring skills
  • Knowledge of curriculum development, lesson planning, and facilitating hands-on projects
  • Excellent communication and interpersonal skills to engage and support learners
  • Ability to adapt to various learning styles and foster an inclusive environment
  • Relevant certifications or a degree in Data Analytics, Statistics, Computer Science, or a related field
  • Familiarity with modern digital tools and educational platforms
  • Previous teaching or industry experience in data analytics is a plus


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