Data Analysis Instructor

at  dareyio

Darey.io is a DevOps virtual learning Bootcamp. In the Darey.io social learning program, you will take your knowledge and certifications and apply them to solve real problems. You may start with little or no IT knowledge but, after completing 30 hands-on projects, you are as good as other engineers with 3 years in the industry.
We are recruiting to fill the position below:

JOB DESCRIPTION

• We are seeking an experienced and passionate Data Analyst Training Instructor to join our team at Darey.io.
• In this hybrid role, you will be responsible for delivering high-quality data analysis training, managing training cohorts, and ensuring continuous improvement of our curriculum and training materials.
• You will develop and deliver a comprehensive curriculum to our learners, conduct weekly training sessions, and provide ongoing support through our Slack community and Xterns platform.

REQUIREMENTS

• Bachelor’s Degree in Data Science, Statistics, Information Technology, or a related field (Master’s degree preferred).
• Minimum of 5 years of experience in data analysis, with a strong understanding of related tools and practices.
• Experience in technical training, education or mentoring others
• Proficiency in Excel, data visualisation tools (e.g., Power BI, Tableau), and cloud-based data analysis tools (e.g., AWS, Azure, GCP).
• Excellent communication and presentation skills.
• Strong leadership and project management abilities.
• Expertise with SQL, Python, or R for data analysis.
• Ability to work flexible hours to accommodate different time zones for online training.
• Willingness to travel for on-site training sessions at our head office in Yaba (when required).

Preferred Qualifications:

• Relevant industry certifications (e.g., Microsoft Certified: Data Analyst Associate, AWS Certified Big Data – Specialty).
• Experience with curriculum development and instructional design.
• Familiarity with learning management systems and online collaboration tools.

Training Delivery:

• Conduct engaging and effective Data Analysis training sessions both online and in person.
• Adapt teaching methods to accommodate different learning styles and experience levels.
• Provide hands-on guidance and support to learners during practical exercises and projects.
• Assess learner progress and provide constructive feedback.

Course Creation:

• Develop and produce video-based courses in data analysis, covering key topics such as Excel, data visualisation tools (Power BI, Tableau), and cloud data analysis tools (AWS, Azure, GCP).
• Collaborate with the content and production teams to create structured, high-quality, and engaging video lessons.
• Ensure course content is up-to-date, practical, and aligned with industry demands.
• Plan and organise course modules to create a smooth and logical progression for learners.

Cohort Management:

• Led and coordinated training cohorts, ensuring smooth operation and high-quality learning experiences.
• Align other instructors with appropriate cohorts based on expertise and scheduling.
• Monitor cohort progress and address any issues or concerns promptly.

Curriculum Development and Maintenance:

• Continuously update and improve training materials, including slides, exercises, and projects.
• Stay current with the latest data analysis trends, tools, and best practices, especially in visualization tools like Power BI, Tableau, and Excel.
• Collaborate with the content team to develop new courses and update existing ones.
• Ensure the curriculum aligns with industry standards and market demands.

Learner Support:

• Provide additional support to learners outside of scheduled training sessions.
• Offer guidance on career development and industry certifications.
• Foster a supportive and collaborative learning environment.

Instructor Coordination:

• Mentor and support other instructors in delivering high-quality training.
• Conduct regular meetings with the instructor team to share best practices and address challenges.
• Assist in the onboarding and training of new instructors.

Quality Assurance:

• Regularly review and assess the quality of training delivery across all cohorts.
• Gather and analyze feedback from learners and instructors to identify areas for improvement.
• Implement changes to enhance the overall learning experience.

Stakeholder Communication:

• Provide regular updates to management on cohort progress and performance.
• Collaborate with sales and marketing teams to support student recruitment efforts.
• Represent Darey.io at industry events and conferences as needed.