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Data Analyst to Teach (m/f/d) – No Experience Required

Role overview

Qualifications

  • Knowledge or professional experience in Data Analysis, Statistics, Data Science, Business Intelligence or a related field.
  • Practical experience with one or more data analysis tools.
  • Ability to explain technical concepts clearly and patiently.
  • Motivation to share your knowledge and support others in their learning.

Responsibilities

  • Provide individual tutoring adapted to each learner's level and goals.
  • Explain key concepts such as data analysis, data visualization, statistics and data interpretation.
  • Help learners work with tools such as Excel, SQL, Python, R, Power BI or similar platforms.
  • Support students with practical exercises, projects and real-world datasets.

Key facts

Hard skills

Other skills

  • Microsoft Excel
  • Communication
  • Teaching
  • Problem Solving

About the company

Nachhilfeunterricht logo

Nachhilfeunterricht

Tutoring & Test Prep

Nachhilfeunterricht ist das Portal für Privatunterricht mit einer großen Präsenz in Europa und Lateinamerika, mit mehr als 2 Millionen registrierten Schülern, mehr als 300.000 Lehrern und 8.000 Akademien und spezialisierten Ausbildungszentren.

Company details

Company typeXLarge
IndustryTutoring & Test Prep
Company size5001 - 10000

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Job description

Data analysis is becoming increasingly important in business, technology and many other fields. Many students and professionals want to develop their data skills and learn how to work confidently with real-world data.

At Nachhilfeunterricht.de, we are looking for Data Analysts who enjoy sharing their knowledge and helping learners develop practical data analysis skills.

Responsibilities

  • Provide individual tutoring adapted to each learner's level and goals.

  • Explain key concepts such as data analysis, data visualization, statistics and data interpretation.

  • Help learners work with tools such as Excel, SQL, Python, R, Power BI or similar platforms.

  • Support students with practical exercises, projects and real-world datasets.

  • Explain analytical methods clearly and help learners understand and interpret their results.

  • Encourage structured thinking and independent problem-solving.

Requirements

  • Knowledge or professional experience in Data Analysis, Statistics, Data Science, Business Intelligence or a related field.

  • Practical experience with one or more data analysis tools is an advantage.

  • Ability to explain technical concepts clearly and patiently.

  • Motivation to share your knowledge and support others in their learning.

  • No previous teaching experience required.

Benefits

  • 100% remote and flexible schedule.

  • Choose your own availability and decide how many learners you want to teach.

  • Teach students and professionals with different levels of experience.

  • Competitive hourly rates of €20–40/hour.

  • A flexible opportunity that can fit around your studies, job, freelance work or other commitments.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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