





**TripleTen** is the #1 bootcamp in the U.S. and LATAM that empowers people, regardless of their prior experience, to embark on the exciting and challenging journey of mastering tech careers. Our bootcamps focus on training students in software engineering, data science, business intelligence analytics, and QA engineering in an accessible and viable way, ultimately guiding them to thrive in a new career. Our mission is to ensure that every student has the opportunity to successfully master a new profession, find their purpose, and become a valuable member of the technology industry. **Who we are looking for:** For the Data Analyst program, we are seeking an experienced data analyst to review individual student projects and help them successfully transition into professional roles. **Please submit all resumes or CVs in English.** **Please note that after applying for this position, you will be asked to complete a test following your online introductory call.** Requirements: * Experience working as an analyst using Python and SQL. * Familiarity with Pandas, NumPy, Matplotlib, and Scikit\-Learn libraries. * Availability to dedicate at least 30 hours per week to reviewing student code. * Intermediate English, competent Spanish. What you will do: * Review student code and provide feedback (can be reviewed at any time; workload depends on student activity). * Grant credits according to task outcomes. * Offer advice for improving code, point out inaccuracies, and highlight errors. What we can offer you: * Fully remote and flexible collaboration (approximately 30 hours weekly, 5 days a week). * Fixed payment of 1500 USD gross per month. * Training in code review and communication techniques. * Opportunity to conduct code reviews for students while maintaining your primary job. * Share experience with developers in our community. * Experience in cross-cultural collaboration through mentoring and conducting webinars. * Comfortable digital office. We use modern digital tools — Miro, Notion, Zoom, etc. — to ensure a smooth collaborative work process. * Diverse and united team distributed across the U.S. and LatAm.


