The Data Analysis Instructor will equip students with the skills to collect, clean, analyze, and visualize data for business decision-making. The curriculum covers Excel, SQL, Python, Power BI, and statistical analysis. Students will learn to transform raw data into actionable insights through dashboards, reports, and presentations.

• 01Deliver training on data analysis tools and techniques
• 02Teach data cleaning, transformation, and exploratory data analysis
• 03Guide students in creating dashboards and reports using Power BI or Tableau
• 04Cover SQL for database querying and data extraction
• 05Instruct on statistical methods and hypothesis testing
• 06Design case studies using real business datasets
• 07Maintain instructional facilities used for training and ensure the safety of students
• 08Research and recommend learning systems
• 09Conduct specific training for the trainee
• 10Give projects to students to test what has been learned
• 11Evaluate the effectiveness of each training session

• 01Minimum 2 years of professional data analysis experience
• 02Proficiency in Excel, SQL, and at least one BI tool (Power BI or Tableau)
• 03Experience with Python for data analysis (pandas, matplotlib)
• 04Strong understanding of statistics and data storytelling
• 05Excellent presentation and communication skills
• 06BSc/HND in Computer Science, Computer Engineering, Mathematics or its equivalent
• 07Knowledge of front-end languages and libraries (e.g. HTML/CSS, JavaScript)
• 08Graphics skills will be an added advantage (Photoshop or CorelDraw)
• 09Excellent written and verbal communication skills
• 10Good organization and multi-tasking abilities
• 11Post NYSC experience in teaching will be an added advantage

• 01Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
• 02Data analysis certifications (Google, Microsoft, IBM) are a plus
• 03Prior training or mentoring experience preferred