Company Description Digital HUB (D-HUB) provides digital trainings and consultations focused on practical skill development and modern technology adoption. The organization delivers training and development services within an efficient framework that supports digital transformation for individuals and organizations. D-HUB emphasizes hands-on learning and real-world applications to help learners stay competitive in a rapidly evolving digital landscape. The team is committed to fostering innovation, continuous improvement, and professional growth for both participants and partners.
Role Description The Data Analysis Instructor is a full-time, on-site role based in Qesm El Doki. The instructor will design and deliver data analysis courses, including preparing lesson plans, teaching materials, and practical exercises that cover key concepts in data analytics, statistics, and data modeling. Day-to-day responsibilities include conducting interactive training sessions, guiding learners through hands-on projects, explaining complex analytical concepts in accessible language, and providing regular feedback and support to participants. The role also involves assessing learner performance, updating course content to reflect current industry practices and tools, and collaborating with the training team to enhance program quality and learning outcomes.
Qualifications
* Candidates should possess strong Analytical Skills and Data Analytics skills to explain concepts clearly and support learners in solving practical problems.
* Candidates should possess solid knowledge of Statistics and Data Modeling to design relevant course materials and projects.
* Candidates should possess excellent Communication skills to present complex information in an understandable, engaging, and inclusive manner.
* Experience teaching or mentoring in data-related disciplines, preferably in a classroom or training environment.
* Familiarity with common data analysis tools (e.g., Excel, SQL, Python, or business intelligence platforms) is highly beneficial.
* Bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.
* Ability to structure curricula, manage classroom dynamics, and adapt teaching methods to diverse learning styles.
* Commitment to professional ethics, inclusivity, and continuous learning in data and digital transformation topics.
