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Part-Time Data Analysis Tutor

Futureshaper.com

São Paulo

Teletrabalho

BRL 20.000 - 80.000

Tempo parcial

Ontem
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Resumo da oferta

An innovative educational service is seeking an experienced data scientist to mentor aspiring tech professionals. In this flexible part-time role, you'll lead students through engaging Data Analytics programs, conducting webinars and live coding sessions. This is a unique opportunity to share your expertise and inspire the next generation of developers while enjoying the freedom of remote work. Join a diverse team committed to empowering individuals to thrive in the tech industry, all while making a significant impact on students' careers. If you're passionate about mentoring and eager to help others succeed, this role is perfect for you.

Serviços

Flexible schedule
Remote work
Training in mentoring
Digital office tools
Cross-cultural collaboration
Community of developers

Qualificações

  • 3+ years of experience as a data analyst.
  • Professional-level knowledge of Python for business problem-solving.
  • Experience with SQL and data visualization.

Responsabilidades

  • Lead students through Data Analytics programs and mentor them.
  • Conduct video webinars and live coding sessions.
  • Provide practical advice and support to students.

Conhecimentos

Data Analysis
Python
SQL
Data Wrangling (Pandas, NumPy)
Statistical Analysis
Excel
Communication
Mentoring

Ferramentas

Miro
Notion
Zoom

Descrição da oferta de emprego

Description

TripleTenis 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 isn't 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, you'll be someone that your students will look up to!
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.
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 $600–800/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 that’s convenient for you and the team. There isn’t 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!
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