INTERNSHIP DETAILS
Praktikum Data Analytics
CompanySTIHL
LocationWaiblingen
Work ModeOn Site
PostedFebruary 27, 2026

Internship Information
Core Responsibilities
Support the development and implementation of data analyses as part of the global customer data strategy. Build and enhance data analytics use cases and dashboards to support marketing and sales decisions.
Internship Type
full time
Company Size
7762
Visa Sponsorship
No
Language
German
Working Hours
40 hours
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About The Company
STIHL builds on experience.
Founded in 1926 by Andreas Stihl as a one-man company, STIHL has branched out to be a world leader in the portable outdoor power equipment industry. We’ve held onto our values as we’ve grown, believing progress demands strong roots in order to flourish in a meaningful way. As a family-owned business with great global impact, sustainability is built into the structure of our company. STIHL is grounded in tradition and its command of innovation.
STIHL gets things done.
Working with nature requires both, skill and craft. STIHL products use highly sophisticated technology, developed to match our customers’ needs: straightforward, effective, long-lasting and hands-on. From the professional to the hobbyist, STIHL helps to face new endeavors and guarantees a reliable partner is at hand, whenever needed.
STIHL helps people grow.
A career at STIHL means innovative work, centered around our high-technology products. As a global company, we offer you international opportunities and entrust you with challenging tasks. Together, we seek new ideas while maintaining the highest standards of quality, which have reinforced STIHL’s legacy for almost a century. We can always rely on our highly motivated personnel, their diverse talents and varied expertise. At STIHL, you craft your career.
Thanks to our transparent structures, we create space for you to develop both personally and professionally. Your decisions will help shape STIHL’s future. As you grow, we’ll grow, together as a company.
Data protection is important to us. You can find further information on this and the imprint here:
https://www.stihl.com/social-media-privacy-policy.aspx
https://corporate.stihl.de/de/footer/impressum
About the Role
Das ist die Aufgabe
- Unterstützung bei der Entwicklung und Umsetzung von Datenanalysen im Rahmen der globalen Kundendatenstrategie
- Auf- und Ausbau von Data-Analytics-Use-Cases & Dashboards zur Unterstützung von Marketing- & Vertriebsentscheidungen, u.a. zur Analyse und Optimierung der Kundenzufriedenheit
- Datenaufbereitung, -modellierung und -visualisierung mit Tools wie Python, PySpark und Power BI
- Durchführung explorativer Datenanalysen zur Identifikation von Mustern und Trends im Kundenverhalten
- Als Teil unseres übergreifenden Data Analytics-Teams enge Zusammenarbeit u.a. mit unseren Product Ownern, Data Analysts, Data Scientists & Data Engineers
Das wünschen wir uns
- Studium der Fachrichtung (Wirtschafts-) Informatik oder vergleichbare Studiengänge
- Erste Erfahrungen mit gängigen Tools zur Datenanalyse & -visualisierung (idealerweise mit Microsoft Power BI und Python)
- Praktische Vorkenntnisse im Bereich Data Analytics bzw. Data Science von Vorteil
- Analytische, kreative & lösungsorientierte Arbeitsweise sowie Hands-on-Mentalität
- Teamplayer mit Freude an der interdisziplinären Zusammenarbeit, idealerweise mit Vorerfahrungen im agilen Umfeld
- Fließend in Deutsch & Englisch
Weitere Details zur Stelle
- Gehalt: 2.117 €/Monat
- Bitte füge deiner Bewerbung folgende Unterlagen bei: Lebenslauf, aktueller Notenspiegel und Immatrikulationsbescheinigung sowie wenn vorliegend Arbeitszeugnisse und deine gültige Arbeits- und Aufenthaltserlaubnis
Key Skills
Data AnalysisData VisualizationPythonPower BIData ModelingData PreparationExploratory Data AnalysisTeam CollaborationAgile MethodologiesCustomer Behavior AnalysisProblem SolvingAnalytical ThinkingCreative ThinkingHands-on ApproachInterdisciplinary Collaboration
Categories
Data & AnalyticsTechnologyMarketingSalesConsulting
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Data AnalysisData VisualizationPythonPower BIData Modeling
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