Job
- Level
- Experienced
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you guide learners through their training in data analytics and data science, answering questions, assisting with exercises, and evaluating final exams.
Job Technologies
Your role in the team
- Have you analyzed, processed, and transformed data into understandable insights or models in your professional daily work (e.g., with Python, pandas, matplotlib, and scikit-learn) — and now want to share this knowledge instead of just using it for internal analyses?
- As a Data Analytics/Data Science Trainer/Tutor, you will professionally and didactically support our participants throughout their training: you will answer their questions, help them overcome hurdles with exercises and projects, and ensure that they not only understand the theory in the end but can also independently analyze and model with Python.
- You assess learning progress, conduct final exams, and provide structured, constructive feedback.
- Through close contact with the learners, you also actively contribute to the further development of our training programs - in close collaboration with the Coaching Team Lead, the Learning Team, and other interfaces.
- Professional response to learners' questions (written and oral).
- Creation, preparation, and further development of learning materials related to data analysis and Data Science (Tools: Python, pandas, matplotlib, scikit-learn).
- Conveyance and deepening of training content in live sessions, webinars, classrooms, and individual learning support.
- Support with uncertainties in the learning process as well as in exercises and projects.
- Conducting and evaluating final examinations as well as making decisions about training success.
- Quality assurance of existing training sessions including feedback to the Learning Team.
- Conducting individual coaching sessions and supporting new team members.
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Our expectations of you
Education
- Completed degree in a quantitative field (e.g., Computer Science, (Business) Mathematics, Natural Sciences, Business Informatics) or an equivalent qualification.
Qualifications
- Understanding of didactic concepts in adult education and online training.
- High customer and service orientation, empathy, clear communication, and a constructive feedback culture.
- Hands-on mentality, team spirit, resilience, and flexibility.
- Very good knowledge of German and English (at least C1).
Experience
- Several years of experience in data analysis or Data Science in a professional context: ability to clean data and perform exploratory analysis, visualize results clearly, and develop and evaluate simple models (tools including Python, pandas, matplotlib, scikit-learn); SQL skills and experience with AI tools are advantageous.
- Didactic experience in teaching technical or professional content to non-technical target groups.
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What we offer
- You can expect a solution-oriented and data-driven approach, an open feedback culture, and a strong team spirit.
- Two trustees elected by the entire StackFuel team support you with questions and concerns as a neutral, confidential point of contact.
- Take responsibility from day one, actively contribute your own ideas, shape processes sustainably, and significantly influence our workflows.
- You can work from anywhere within the EU, EEA, and Turkey for up to 10 days per year.
- Regular team exchanges, seasonal celebrations, and a consistently well-stocked kitchen ensure a lively community.
- Complete our online training courses to expand your professional skills and develop into an expert in data and AI.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
StackFuel GmbH
StackFuel GmbH, based in Berlin-Kreuzberg, develops and markets online training programs for companies in industry and commerce, particularly in the areas of Data Literacy and Data Science.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Data Analytics / Data Science Tutor
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
