About this role
Job title: Data Analysis Instructor / Data Analyst Mentor
About the Role TripleTen is seeking experienced Data Analysis professionals for a full-time teaching role (40 hours/week) to guide students on their path to becoming professional developers. The position is remote-friendly, with flexible scheduling as long as you are available to support students throughout their learning journey.
What You'll Do
- Host regular live Q&A sessions to help students unblock and progress confidently
- Offer personalized 1:1 video calls to answer questions and guide assignments
- Occasionally respond to student questions via direct messages
- Lead live lessons on core program topics and industry-relevant skills
- Share your professional insights and best practices to support the learning community
- Review student projects and provide feedback based on program standards
- Write clear, actionable feedback to help students improve and meet expectations
- Support students in text by explaining concepts, troubleshooting code, and clarifying project or review questions
What We're Looking For
- 2+ years of experience working as a Data Analyst
- Professional-level knowledge of Python for solving business problems (ideally with at least 3 years of experience)
- 1+ year of experience working with SQL on real-world problems
- Experience with data visualization, statistics and probability, and Excel
- Experience with data wrangling libraries such as Pandas, NumPy, Matplotlib, etc.
- Intermediate English level
- Advanced Spanish proficiency
Compensation & Benefits
- Training in mentoring and communication techniques
- Opportunity to teach while continuing your main job
- Chance to share knowledge and experience with developers within our community
- Cross-cultural collaboration experience through mentoring and webinar facilitation
- Remote collaboration with a schedule convenient for both you and the team
- No micromanagement
- A comfortable digital office environment using tools like Miro, Notion, Zoom, and others
- Diverse and close-knit team distributed across the U.S. and Latin America