Data Analyst Instructor at Tech365

Overview

• As a Data Analyst Instructor, your primary role is to teach and guide individuals in learning the skills needed to analyze data effectively. You'll be responsible for instructing students in various data analysis techniques, tools, and methodologies.

Key Responsibilities

• Classroom Instruction: Deliver engaging lectures, and practical sessions to explain complex data analysis topics in a clear and understandable manner. You will guide students through hands-on activities to apply what they have learned.
• Support and Guidance: Offer one-on-one assistance, mentoring, and support to students, helping them navigate challenges, understand difficult concepts, and improve their analytical skills.
• Assessment and Feedback: Develop evaluation methods such as tests, quizzes, and projects to gauge students' understanding. Provide constructive feedback to aid their learning and improvement.
• Stay Updated: Keep abreast of industry trends, tools, and technologies in data analysis. Update course content and materials to ensure relevance and alignment with current industry practices.

Skills and Qualifications

• Expertise in Data Analysis: In-depth knowledge and practical experience with data analysis tools such as Excel, SQL, PowerBI and Python (Numpy, Pandas, Matplotlib, Seaborn, Plotly).
• Teaching Abilities: Strong communication skills with the ability to explain complex concepts in a simple, understandable manner. Experience in teaching or training is required.
• Problem-Solving Skills: Proficiency in problem-solving methodologies and the ability to guide others in analyzing and interpreting data to derive meaningful insights.
• Continuous Learning: Willingness to learn and adapt to new technologies and methodologies in the data analysis field.

Education and Experience

• A Bachelor's Degree or higher in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.
• 1 - 5 years work experience.
• Previous experience in data analysis, teaching, or training roles is preferred.

Additional Notes:

• Flexibility: Willingness to adapt teaching methods to suit different learning styles and student backgrounds.
• Passion: A genuine interest in helping others learn and succeed in the field of data analysis.