{"id":1914590,"url":"https://alion.io/job/everllence-werkstudent-data-analytics-mwd","title":"Werkstudent Data & Analytics (m/w/d)","company":{"id":1823967,"name":"Everllence","domain":"everllence.com","url":"https://alion.io/company/everllence","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"part_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Augsburg, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":60000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-08-28T12:00:00Z","employer_posted_date":null,"last_verified_at":"2026-08-28T12:00:00Z","board_verified":false,"closed_at":null,"days_open":55,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":55},"description":"Das sollten Sie über uns wissen\nEverllence ebnet den Weg in eine klimaneutrale Weltwirtschaft. Ob Industrieproduktion, Energie- oder maritime Wirtschaft: Wir denken ganzheitlich und packen schon heute die Herausforderungen von morgen an - für eine nachhaltige Wertschöpfung unserer Kunden. In unserem Technologieportfolio steckt die Erfahrung aus über 250 Jahren Ingenieurstradition. Everllence hat seinen Hauptsitz in Deutschland und beschäftigt rund 15.000 Mitarbeiter an mehr als 120 Standorten weltweit. Unsere Kunden profitieren außerdem vom globalen Service-Center-Netzwerk unserer After-Sales Marke, Everllence PrimeServ.\nFolgende Aufgaben können wir Ihnen anbieten\nAllgemeine Datenverarbeitung: Auslesen, Auswerten, Analysieren und Bearbeiten von Daten mit Python\nÜberführung der Prüfstandsdaten in die CEON-Umgebung (Everllenceeigene Cloud)\nErstellung von Referenzkurven für den Performance Score (ein digitales Produkt von Everllence)\nDatenauswertung von Abgasnachbehandlungsthemen\nMit diesen Qualifikationen helfen Sie uns weiter\nLaufender Studiengang in Maschinenbau, Informatik oder vergleichbar\nIT-Affinität\nGute Programmierkenntnisse: Python\nAusgeprägte Affinität für die Auswertung, Analyse und Visualisierung von Daten\nStrukturierte, eigenverantwortliche Arbeitsweise\nFähigkeit, Ergebnisse klar verständlich aufzubereiten\nUnsere Benefits für Sie\nKantine, Essenszulage, Barrierefreiheit, betriebliches Gesundheitsmanagement, Betriebsarzt, Fitnessraum, Parkplatz, gute Verkehrsanbindung, Mitarbeiterrabatte, Studentennetzwerk, Frauennetzwerk\nBei Fragen wenden Sie sich gerne an Nicola Hasl. 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