Data Analyst Trainer

Position Overview We are seeking a passionate and skilled Data Analyst Trainer to design, deliver, and facilitate training programs that equip learners with practical knowledge and hands-on experience in data analysis. The trainer will be responsible for teaching concepts, tools, and techniques related to data analytics while mentoring learners to apply these skills in real-world scenarios. ________________________________________ Key Responsibilities • Training Delivery Conduct engaging classroom, online, or blended training sessions on data analytics tools, techniques, and frameworks. Teach concepts such as data cleaning, visualization, statistical analysis, and reporting. Provide hands-on training in tools like Excel, SQL, Python/R, Power BI/Tableau. • Curriculum Development Design and update training materials, assignments, projects, and case studies based on industry needs. Ensure training modules are practical, interactive, and aligned with current market trends. • Learner Engagement & Assessment Mentor and guide learners through individual and group projects. Conduct assessments, quizzes, and feedback sessions to measure learning outcomes. Provide constructive feedback and personalized support to improve learner performance. • Industry Relevance Incorporate real-world business case studies and datasets into training. Stay updated with the latest trends in data analytics and integrate them into teaching. • Collaboration & Reporting Work closely with program managers, academic teams, and industry partners to ensure program effectiveness. Track learner progress, maintain training records, and prepare reports on outcomes. ________________________________________ Required Skills & Qualifications • Bachelor’s/Master’s degree in Data Science, Statistics, Computer Science, Economics, or related field. • Proven industry experience in data analysis, business intelligence, or data science. • Strong proficiency in at least 2–3 of the following: SQL for querying databases. Excel (advanced functions, pivot tables, dashboards). Python/R for data analysis, visualization, and basic machine learning. Tableau/Power BI for building dashboards and reports. Excellent communication and presentation skills. Passion for teaching, mentoring, and simplifying complex concepts. Experience in training/teaching/facilitation is preferred (but not always mandatory).