Our Instructors at Tripleten are the role models for the students studying on our Data Analytics program. They mentor students, help them with difficult concepts and assignments, teach them the skills necessary to be a great Data Analyst. They guide students through the program and into their future careers, making sure all students get the most out of both regardless of their background.

**These positions are based in the LATAM market***

 ***Please Submit All Resumes In English***



Instructors are a core part of the student learning experience. They not only provide guidance on coursework but also help students grow as professionals.

• Mentor students through 1:1 video calls, addressing a wide range of questions, clarifying complex concepts, and helping students navigate their assignments.
• Support students in live “Q&A style” sessions, where they can walk in with immediate questions.
• Review and assess student projects in alignment with program standards and best practices, providing clear, constructive feedback.
• Engage with students on the TripleTen Hub, offering written guidance and supporting ongoing communication.
• Share your professional expertise and best industry practices to equip students with relevant insights and strategies for their careers.
• Create and curate educational resources within the TripleTen Hub to enhance student learning and make knowledge more accessible.
• Foster a collaborative learning community by encouraging student interaction, building a sense of belonging, and cultivating a network of shared knowledge and mutual support.
• Host Mock Technical Interviews providing constructive feedback on both their technical responses and interview skills.

• 3+ years of experience in Business analysis/Data Analysis in large-scale data sets, creating dashboards, reports and presentations with compelling visuals with BI-tools Programming experience in Python (Pandas, NumPy, Matplotlib, Seaborn) for data manipulation and predictive analytics.
• Advanced SQL skills, including ability to manipulate complex databases, create temporary views and functions Professional user of Power BI (ideally, being confident with similar data visualization tools)
• 2+ years of experience working in tech industry - experience with the U.S. market is a plus
• Availability for full-time collaboration (approximately 40 hours per week)
• You can explain topics in Excel, SQL, statistics, mathematics, data visualization tools in a way that is understandable for students A genuine passion for teaching, sharing knowledge, and staying up to date with the evolving field of Data Analytics

Language & Communication:

• Excellent spoken and written English is required. The role involves leading live sessions, engaging with students, and delivering clear, confident communication.

We appreciate it if you have:

• Teaching or tutoring experience; Experience with other BI-tools (Looker, QlikView, Grafana, Streamlit, Google Analytics, etc..)
• Programming experience in Python/R Experience with analytics pipelines, ETL processes using Python, Airflow, dbt and/or other similar data integrations/scheduling tools.
• Have your own experience as a student online, and the desire to help create the best place in the world to study Data Analytics

Compensation: $2,500 / Monthly

• Fully remote role with a consistent weekly schedule
• Free in-house training to help you grow as a skilled Instructor and role model - including communication style, soft skills, and student engagement techniques
• Opportunities to grow your visibility as a public expert in the field
• Cross-cultural collaboration and the chance to connect with passionate teammates who love what they do

What to expect from the hiring process:

The hiring process includes a check of your technical knowledge and teaching skills - this may happen through a technical assignment or a live (technical) interview.

While the usual steps include a screening, a technical evaluation, and a final conversation, the exact order may vary depending on the program. We’ll guide you through each step along the way.

Schedule: Tuesday-Saturday 10:00 - 16:00 EST

Location:

We are specifically targeting candidates based in Latin America. Applicants residing in the U.S. are not eligible for this position.

Disclosures

• At this time we are unable to offer H1B sponsorship opportunities in the USA.

• This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.

• TripleTen is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, color, religion, sex, national original, age, religion, disability, marital status, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.