Aus gesetzlichen Gründen weisen wir darauf hin, dass das kollektivvertragliche, monatliche Mindestgehalt für diese Position € 4.215,- brutto (Vollzeit) beträgt. Unsere tatsächlichen Gehaltspakete orientieren sich an aktuellen Marktgehältern und berücksichtigen selbstverständlich Deine Qualifikation und Erfahrung.
Severely disabled applicants will be given preference if equally qualified. This position can be full-time or part-time (min. 30h/week). DKV Mobility is looking for the best talents and knows that these are not always available on a full-time basis.
Severely disabled applicants will be given preference if equally qualified. This position can be full-time or part-time (min. 30h/week). DKV Mobility is looking for the best talents and knows that these are not always available on a full-time basis.
Severely disabled applicants will be given preference if equally qualified. This position can be full-time or part-time (min. 30h/week). DKV Mobility is looking for the best talents and knows that these are not always available on a full-time basis.
Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg on a weekly basis. Therefore we’ve implemented a hybrid working model that allows us to work remotely on Mondays and Fridays and to work onsite from Tuesday to Thursday.
Senden Sie Ihre aussagekräftigen Bewerbungsunterlagen (gerne mit Angaben zum Gehaltswunsch sowie dem nächstmöglichen Eintrittstermin) an bewerbung@opusone.team. Gemeinsam finden wir heraus, ob diese Position die Richtige für Sie ist und ob wir Ihnen außerdem noch andere Perspektiven anbieten können.
Hochschulabschluss vorzugsweise im Bereich Logistik, BWL, VWL oder ähnliche nachweisbare Qualifikationen Mehrjährige Berufserfahrung in vergleichbarer Position mit entsprechender Führung großer Teams über mehrere Ebenen Flexible Einsatzbereitschaft innerhalb ganz Deutschlands Fundierte Kenntnisse in der Kontraktlogistik, bevorzugt im Bereich eCommerce, FMCG oder Healthcare Souveräner Umgang mit Methoden wie Lean Management, Kaizen oder Six Sigma Sehr gute Anwenderkenntnisse von MS Office und Lagerverwaltungsprogrammen Verhandlungssichere Deutsch- und Englischkenntnisse in Wort und Schrift Hervorragende soziale Kompetenz und Kommunikationsstärke auf allen Ebenen, wie auch ein motivierender, unterstützender Führungsstil und ausgeprägte Hands-On-Mentalität Stark ausgeprägte Serviceorientierung, insbesondere im Umgang mit Kunden Ausgeprägte analytische Denkweise und lösungsorientierte Handlungsweise, gepaart mit innovativem Denkvermögen Hochgradige Belastbarkeit, Flexibilität, Erfolgsfokussierung und sehr hoher, nachhaltiger Qualitätsanspruch Deine Chancen: Flache Hierarchien und kurze Kommunikationswege "Offene Tür - Mentalität" Modernes Arbeitsumfeld und nette Kollegen Spannende und abwechslungsreiche Aufgabengebiete Sehr gute Entfaltungs- und Aufstiegsmöglichkeiten Kontinuierliche persönliche Weiterentwicklungsmöglichkeiten Mitarbeit in einem stark expandierenden Unternehmen Möchtest Du unser Team durch Deine Kompetenz verstärken?
What you will do: Prepare and structure topics, requirements, and stakeholder requests Answer stakeholder questions and create clear, reliable documentation Support and drive new projects from concept phase to implementation Manage and refine incoming requests via the team’s ticketing workflow Derive and define development tasks based on business and data needs Analyze data flows and assess the impact of changes on existing data deliverables Evaluate new data sources and identify opportunities for process optimization Ensure transparency and quality of KPIs and financial data Who you are: 1+ years of experience in a Technical Business Analyst, Data, or similar role Hands-on mentality and strong willingness to learn Experience working with data and IT systems Solid SQL skills (BigQuery is a plus) Understanding of data structures and data flows Basic programming knowledge is a nice to have Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis. Therefore we’ve implemented a hybrid working model that allows us to work remotely on Mondays and Fridays and to work onsite from Tuesday to Thursday.
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis. Therefore we’ve implemented a hybrid working model that allows us to work remotely on Mondays and Fridays and to work onsite from Tuesday to Thursday.
What you will do: Lead strategic and operational projects across multiple systems and teams in the supply area Analyze and challenge business requirements to minimize technical complexity while meeting business needs Collaborate closely with partner integration units and application teams to implement scalable technical solutions Steer E2E testing together with the partner and internal application teams with a high motivation to get yourself involved wherever needed / possible Ensure on-time delivery by tracking milestones and aligning across teams Support the operational business by issue resolution process by analyzing, prioritizing, investigating and tracking the bugs related to new integrations Lots of space for your own ideas and creations, flat hierarchies and very short decision-making process Who you are: Completed studies in business informatics or a comparable course of study 2-5 years of hands-on experience in project management / business analysis within a tech organization Proven experience in managing stakeholders from both technical and business backgrounds Analytical, logical, and structured approach to problem-solving Strong technical curiosity and a solid understanding of how systems and architectures work (including knowledge of databases, data flows, logs, payloads, and SQL) Good communication skills (especially English) Solution-oriented and out-of-the-box problem solving Analytical, logical and efficient way of thinking Proactive attitude, willingness to take responsibility Fast understanding of complex tasks with many variables and high complexity Nice to have: experienced in designing process flows experience in eCommerce experienced with middlewares Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg on a weekly basis. Therefore we’ve implemented a hybrid working model that allows us to work remotely on Mondays and Fridays and to work onsite from Tuesday to Thursday.
Hands-on experience in incident handling and root cause analysis A solid understanding of system integrations, APIs, and data flows Ability to read and interpret logs and payloads Proficient with Postman or similar API testing tools Excellent written and spoken English communication skills Nice to have: Experience in eCommerce Experience with middlewares Benefits Hybrid working Fresh fruit every day Sports courses Free access to code.talks Exclusive employee discounts Free drinks Language courses Laracast account for free Company parties Help in the relocation process State-of-the-art technology Central Location Flexible Working Hours Professional training AY Academy Feedback Culture Job Bikes Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg on a weekly basis. Therefore we’ve implemented a hybrid working model that allows us to work remotely on Mondays and Fridays and to work onsite from Tuesday to Thursday.
Severely disabled applicants will be given preference if equally qualified. This position can be full-time or part-time (min. 30h/week). DKV Mobility is looking for the best talents and knows that these are not always available on a full-time basis.
Senior Data Scientist (m/w/d) Data Science & Advanced Analytics Frankfurt, Deutschland Der Senior Data Scientist ist verantwortlich für die Konzeption, Implementierung und kontinuierliche Optimierung skalierbarer ML‑Lösungen, die Geschäftsanforderungen in messbaren Impact für die EMEA‑Märkte übersetzen. Die Position verbindet technische Umsetzung mit geschäftlicher Ausrichtung und stellt sicher, dass Lösungen an sich verändernde kommerzielle Anforderungen angepasst werden können, während gleichzeitig architektonische Konsistenz und Standardisierung gewährleistet bleiben.