Aufgaben Unterstützung des Business-Management-Teams im Tagesgeschäft sowie bei strategischen und operativen ProjektenErstellung von Analysen, Reports, Business Cases und Management-PräsentationenMitarbeit bei der Auswertung betriebswirtschaftlicher und finanzieller Kennzahlen sowie der Ableitung von HandlungsempfehlungenUnterstützung bei Finance-nahen Fragestellungen, z.
In this role, you’ll take on real responsibility – including your direct reports - overseeing financial operations across several entities, ensuring full transparency in all figures, and acting as a sparring partner to the Director Finance.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. 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 seven 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 Benefits Hybrid working Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. 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.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. 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.
In Deinem Job: Programmierst und optimierst Du Workflows, Datenentitäten, Reports und Formulare in X++ sowie andere für D365 F&SCM spezifische Technologien. Setzt Du aktuelle Entwicklungswerkzeuge wie Azure DevOps, Visual Studio, GIT sowie KI-gestützte Programmierassistenten ein.
Erkennst Du durch Deine enge Kundenbeziehung proaktiv Erweiterungspotenziale und schlägst Lösungen und Dienstleistungen aus unserem E2E-Portfolio vor. Programmierst und optimierst Du Workflows, Datenentitäten, Reports und Formulare in X++ sowie andere für D365 F&SCM spezifische Technologien. Setzt Du aktuelle Entwicklungswerkzeuge wie Azure DevOps, Visual Studio, GIT sowie KI-gestützte Programmierassistenten ein.
TestingErstellung und Weiterentwicklung von Landingpages sowie Content-Management in Abstimmung mit dem Digital MarketingPlanung, Steuerung und Analyse aller Paid-Media-Aktivitäten (Jahres- und Quartalsplanung, Performance-Review, operative Anpassungen)Ableitung datenbasierter Handlungsempfehlungen und Optimierung digitaler Kampagnen entsprechend Nutzerverhalten und MarktbedarfMitarbeit an Budgetprozessen, Forecasts und langfristiger DigitalplanungErstellung wöchentlicher KPI-Reports für digitale PerformanceFachliche Führung eines/einer Digital Marketing Manager (Schwerpunkt CRM) sowie enge Verzahnung mit dem GesamtmarketingVerantwortung zentraler Digital-KPIs über Website, App, CRM und Social Media Fundierte Erfahrung im digitalen Marketing, idealerweise mit E-Commerce- oder performanceorientiertem FokusFundiertes Know-how in den Bereichen Performance Marketing, datengetriebener Analyse und KampagnensteuerungErfahrung in Wachstumssteuerung (Traffic, Conversion, Umsatz, Profitabilität)Stark in Projektmanagement und in der Steuerung von Agenturen und DienstleisternAnalytische, strukturierte und unternehmerische DenkweiseKommunikationsstärke in Deutsch und Englisch; weitere Sprachen von VorteilTeamorientiert, zuverlässig und sicher in Priorisierung und Ressourcenplanung Vielseitige, verantwortungsvolle Rolle mit klaren EntwicklungsperspektivenUnbefristete Festanstellung und 30 UrlaubstageZuschüsse zu Mobilität sowie moderne Arbeitsumgebung in zentraler LageKollegiales, wertschätzendes Team und moderne UnternehmenskulturZusatzangebote und attraktive Benefits Gehaltsinformationen Marktgerechtes, leistungsorientiertes Vergütungspaket Ihr Kontakt Ansprechpartner Robert Fraaß Referenznummer 860911/1 Kontakt aufnehmen Telefon:+49-(0)40-300859 E-Mail: robert.fraass@hays.de Anstellungsart Festanstellung durch unseren Kunden
Provide expert technical input to development projects by integrating real site-specific load insights. Prepare clear technical reports and documentation summarizing analyses and results. Support certification processes and claims investigations with deep technical understanding.