Data Analyst Partner

Designation:

Partner

Position:

Data Analyst Instructor Mentor (Part-Time)

Job Type:

Consultant

Benefits:

Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes.

Reports to:

Founder/CEO

Job Overview

The Data Analyst Mentor will provide strategic training and mentorship to Eduroids' students on a part-time basis, focusing on equipping them with industry-relevant data analytics skills. This role involves delivering hands-on training sessions, developing course materials, and offering personalised guidance to students to enhance their technical proficiency and career readiness.

Key Responsibilities

• Training Delivery:
  Conduct weekend training sessions, focusing on data analysis tools, techniques, and methodologies.
• Curriculum Development:
  Develop and maintain course content that aligns with industry standards and the latest trends in data analytics.
• Hands-On Learning:
  Guide participants through practical exercises, real-world case studies, and data analysis projects to enhance their technical skills.
• Mentorship:
  Provide personalised support, answering queries and helping students understand and apply data analytics concepts.
• Industry Alignment:
  Ensure that all training sessions and materials reflect the latest advancements in data analytics tools, trends, and best practices.
• Assessment and Feedback:
  Monitor student progress through regular assessments, offer constructive feedback, and suggest improvement strategies.
• Knowledge Transfer:
  Share practical insights and real-world examples to bridge the gap between theoretical concepts and industry applications.

Key Measures

• Student Progress:
  Track and evaluate student performance through assessments, ensuring skill acquisition and concept mastery.
• Industry Relevance:
  Maintain and update curriculum content to align with industry needs and emerging technologies in data analytics.
• Feedback Scores:
  Achieve high satisfaction ratings from participants for training quality and mentorship.
• Hands-On Projects:
  Ensure students complete practical projects showcasing their analytical capabilities.

Qualifications

• Education:
  Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Experience:
  • Minimum of 15 years of professional experience as a Data Analyst or in a related role.
  • Must possess real-time experience working with Fortune 500 companies.
  • Proven expertise in data analytics, data visualization, and reporting.
• Technical Skills:
  • Proficiency in tools like SQL, Python, and R.
  • Advanced skills in data visualization platforms such as Tableau, Power BI, or Looker.
  • Knowledge of statistical analysis, data cleaning, and predictive analytics.
• Soft Skills:
  • Excellent communication and presentation skills.
  • Ability to simplify complex data concepts for learners from diverse backgrounds.
  • A passion for teaching, mentoring, and guiding the next generation of data professionals.

Personal Attributes

• Enthusiastic about sharing knowledge and empowering learners.
• Resilient and adaptable, committed to continuous improvement.
• Collaborative mentor who fosters an engaging and inclusive learning environment.

Benefits

• Competitive compensation based on hourly or project-based engagement.
• Flexible remote working options.
• Opportunity to shape the next generation of data analytics professionals.
• Supportive and innovative work culture.