Tutor de Análise de Dados (Part-time)

Lisbon - Portugal

Monthly Salary: Not Disclosed

Posted on: 19 days ago

Vacancies: 1 Vacancy

Job Summary

TripleTen is a service that empowers individuals regardless of their prior experience to embark on the exciting and challenging journey of mastering tech professions. Our bootcamps focus on training students in software engineering data science business intelligence analytics and QA engineering in a feasible and accessible way ultimately leading 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 tech industry.

What is our goal

Learning programming isnt easy and most of us did it the hard way. Our goal is to help students avoid common mistakes accelerate their learning process and help them land jobs. We are looking for an experienced data scientist to mentor our students and help them become professional developers.

What you will do:

You will lead a cohort of students through our Data Analytics programs while sharing your experience and inspiring them with your industry knowledge. You will help students by answering questions and by giving them practical advice in the following forms:

Video webinars (once-twice a week).
Chats with students.
Live-coding sessions (1 live session every 2 weeks).
Moderating and consulting colleagues in the student experience team.
And most importantly youll be someone that your students will look up to!

What we can offer you:

Training in mentoring and communication techniques.
The ability to teach students while performing your primary job.
Sharing experience with developers in our community.
Earnings of $600800/month on average for a flexible part-time collaboration with great impact and awesome people!
Cross-cultural collaboration experience in mentoring and conducting webinars.
Remote cooperation with a schedule thats convenient for you and the team. There isnt a focus on micromanaging.
A comfortable digital office. We use modern digital tools Miro Notion Zoom etc. to make working together process seamless.
Diverse and tight-knit team which is spread out across the US and LatAm!

Requirements:

3 years of experience working as a data analyst.
Knowledge of Python on the professional level solving business problems(ideally from 3 years).
1 year experience working with SQL in real life problems visualizations statistic and probabilities Excel.
Experience with the Data Wrangling libraries as Pandas NumPy Matplotlib etc.
Readiness to dedicate between 10 and 15 hours a week.
Advanced English.

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

What you will do:

Video webinars (once-twice a week).
Chats with students.
Live-coding sessions (1 live session every 2 weeks).
Moderating and consulting colleagues in the student experience team.
And most importantly youll be someone that your students will look up to!

What we can offer you:

Training in mentoring and communication techniques.
The ability to teach students while performing your primary job.
Sharing experience with developers in our community.
Earnings of $600800/month on average for a flexible part-time collaboration with great impact and awesome people!
Cross-cultural collaboration experience in mentoring and conducting webinars.
Remote cooperation with a schedule thats convenient for you and the team. There isnt a focus on micromanaging.
A comfortable digital office. We use modern digital tools Miro Notion Zoom etc. to make working together process seamless.
Diverse and tight-knit team which is spread out across the US and LatAm!

Requirements:

3 years of experience working as a data analyst.
Knowledge of Python on the professional level solving business problems(ideally from 3 years).
1 year experience working with SQL in real life problems visualizations statistic and probabilities Excel.
Experience with the Data Wrangling libraries as Pandas NumPy Matplotlib etc.
Readiness to dedicate between 10 and 15 hours a week.
Advanced English.