Data Analyst Trainer

Full–time

Posted on: 3 days ago

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.
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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.
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    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).