Job Description

We are seeking a knowledgeable and engaging Data Analysis Tutor to join our Edutech company. This role is ideal for an experienced data professional who is passionate about sharing their expertise and guiding students in the field of data analytics. You will be responsible for delivering comprehensive instruction on data analysis techniques, tools, and methodologies. Your ability to simplify complex data concepts and foster practical application will be crucial for student success in this hybrid position.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

Data AnalysisStatisticsData VisualizationSQLPython (Pandas, NumPy)RTeachingCommunication

Key Responsibilities

  • Provide expert instruction on data analysis principles and practices.
  • Develop and deliver engaging course content for data analysis topics.
  • Guide students in using data analysis software and tools effectively.
  • Evaluate student understanding and provide constructive feedback.
  • Keep abreast of advancements in data analysis and related technologies.
  • Create a stimulating and supportive learning environment for students.

Qualifications

  • A minimum of 3 years of professional experience in data analysis.
  • Proven track record of effectively tutoring or teaching data analysis.
  • Proficiency in statistical analysis, data visualization, and relevant software (e.g., Python, R, SQL).
  • Excellent communication, presentation, and interpersonal skills.
  • Ability to thrive in a hybrid work environment.
  • Experience with machine learning concepts is a plus.

Benefits & Perks

  • A competitive net salary of 150,000 NGN per month.
  • Flexible hybrid work arrangement.
  • Opportunity to impact students' careers in data science.
  • Continuous learning and professional growth.

How to Apply

This job has expired

Join our innovative Edutech company as a Data Analysis Tutor. You will empower students with the skills to interpret data, derive insights, and make data-driven decisions. Success will be measured by student comprehension of analytical techniques, their ability to utilize data analysis tools, and their overall progress towards becoming proficient data analysts.

Posted Date

January 28, 2026

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