About this role
About the Role TripleTen is seeking experienced Data Analysis professionals to support and guide our students on their path to becoming professional developers. This is a full-time teaching role with an expectation of 40 hours per week. The schedule can be flexible, but you must be consistently 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 support through 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, as well as 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
- The opportunity to teach while continuing your main job
- The 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 that is convenient for both you and the team. We do not focus on micromanagement.
- A comfortable digital office environment. We use modern digital tools such as Miro, Notion, Zoom, and others to ensure smooth collaboration
- A diverse and close-knit team distributed across the U.S. and Latin America You are trained on data up to October 2023.