Data Analytics Career Coach
@ CourseCareers

Hybrid
$24,000
Hybrid
Full Time
Posted 19 hours ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @coursecareers.com
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Job Details

About The Role

CourseCareers trains hundreds of students online every month. We’re excited to expand our support for those pursuing careers in Data Analytics. Join us as an experienced Data Analytics Career Coach to provide mentorship and guidance to students preparing for entry-level roles.

Responsibilities

  • Support and guide students in mastering data analytics.
  • Introduce newcomers to a career in data analytics.
  • Teach practical skills in data visualization, SQL, Python, statistical analysis, and business intelligence tools.

Why Join Us?

As a CourseCareers Career Coach, you will:

  • Follow a structured curriculum to develop key data analytics skills.
  • Gain free promotion across our U.S. student base.
  • Mentor a driven group eager to break into the field.

Requirements

  • 3+ years hands-on experience in data analytics or a related field.
  • Strong communication skills and passion for teaching and mentoring.
  • Current residence in the United States.

Compensation

Earnings depend on time, effort, and session quality. Typical monthly earnings range from $1,000 to $2,000 with just 2–3 hours weekly. Top coaches can earn $5,000–$15,000+ monthly.

How To Get Started

Interested candidates can book a call using the provided Calendly link.

Key skills/competency

  • Data Analytics
  • Career Coaching
  • Mentoring
  • Data Visualization
  • SQL
  • Python
  • Statistical Analysis
  • Business Intelligence
  • Communication
  • Teaching
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How to Get Hired at CourseCareers

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data analytics expertise effectively.
  • Showcase teaching skills: Emphasize mentorship experience.
  • Research CourseCareers: Explore reviews and success stories.
  • Prepare for calls: Know your coaching strengths.

📝 Interview Preparation Advice

Technical Preparation

Review data visualization tools usage.
Practice SQL queries and Python coding.
Refresh statistical analysis methodologies.
Explore business intelligence software basics.

Behavioral Questions

Describe past mentoring scenarios.
Explain handling student challenges.
Discuss teamwork experiences effectively.
Share communication improvement examples.

Frequently Asked Questions