Data Analytics Tutor / Trainer (R, Python, and SQL) at Campus Technologies Limited

Campus Technologies is an experienced Company in the ICT Industry with major on IT Training / Education, IT Solutions Development & Services, e-learning Solution Development and Implementation among other Businesses.

We are recruiting to fill the position below:

Job Title: Data Analytics Tutor / Trainer (R, Python, and SQL)

Location: Abuja (FCT)
Employment Type: Full-time

Job Description

• We are seeking a highly skilled and experienced Data Analytics Trainer to join our team
• As a Data Analytics Trainer, you will be responsible for delivering high-quality training sessions on R, Python for analytics, and SQL to our clients.

Responsibilities

• Develop comprehensive training materials and modules on data analytics concepts, R programming, Python for analytics, and SQL.
• Deliver engaging and interactive training sessions to individuals or groups, both in-person and remotely.
• Tailor training programs to meet the specific needs and skill levels of participants.
• Provide hands-on exercises, projects, and real-world examples to enhance learning and practical application.
• Assess participants' progress and adjust training methods as needed.
• Stay up-to-date with the latest trends, tools, and techniques in data analytics to continuously improve training programs.
• Collaborate with the internal team to identify and address training needs and opportunities.

Requirements

• Candidates should possess relevant qualifications and work experience.
• Strong expertise in R programming and Python for analytics, including data manipulation, statistical analysis, data visualization, and machine learning.
• Proficient in SQL for data querying, extraction, and manipulation.
• Previous experience in delivering training sessions on data analytics or related topics.
• Excellent presentation and communication skills.
• Ability to explain complex concepts in a clear and understandable manner.
• Strong problem-solving and critical-thinking skills.
• Good organizational and time management abilities.
• A passion for teaching and helping others succeed in data analytics.

Application Closing Date
31st August, 2023.