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Why this grade This listing scored 17/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-20 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Description
TripleTen is a service that empowers people, regardless of their prior experience, to embark on the exciting and challenging journey of mastering tech professions. Our bootcamps focus on training students in Data Analytics, Data Science, Web Development, Quality Assurance (QA) Engineering, and UX/UI Design — in an accessible and practical way, supporting them until they successfully 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 tech industry.
What is our goal? We are continuously looking for experienced Data Analysis professionals who want 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.
How to apply? Apply here. We review applications on a rolling basis, and candidates whose profiles align with the role will be invited to complete a digital interview, and complete a short technical test task.
If a vacancy is available, we will assign it to you right away; otherwise, we will keep your profile and completed task on file for future opportunities.
📌 Please submit your CV in English.
What you will 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
Requirements
- 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.
What we can offer you
- 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.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 14 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.