Was Deinen Tag bei uns ausmacht: Reporting und Visualisierung Du erstellst und pflegst Reports sowie Dashboards, zum Beispiel in Power BI, zur anschaulichen Visualisierung relevanter Supply-Chain-Kennzahlen und zur Unterstützung transparenter Entscheidungsprozesse.
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.
Dabei entwickelst und optimierst Du Dashboards, zum Beispiel in Power BI, für Management- und Performance-Reports, um transparente Einblicke in die Unternehmensabläufe zu ermöglichen. Datenanalyse und Entscheidungsunterstützung Du führst tiefgehende Analysen von Daten aus SAP, SAP IBP sowie weiteren IT-Systemen und Datenbanken durch.
Das erwartet Sie: Kaufmännische Steuerung sowie Unterstützung des Financial Directors und des Zentralcontrollings der Region Nordost Sparringspartner für den kaufmännischen Niederlassungsleiter, Bereichscontroller und Ansprechpartner bei Fragen des Zentralcontrollings Mitwirkung und Kontrolle der Monats- und Jahresabschlüsse (HGB & IFRS) Monitoring und Steuerung von NAL, OP, Skonto, Sonderleistungen und Preisanpassungen Erstellung von Ad-hoc-Analysen für den Financial Director und die Geschäftsführung sowie Bearbeitung zentraler Anfragen Erstellung und Analyse von Reports sowie Plausibilisierung der Daten Aufbereitung der Auswertungen für Business-Review-Meetings Erstellung von Präsentationen für die Geschäftsführung Prozessmanagement - Ausbau, Optimierung und Anpassung Mitwirkung bei der Einführung von SAP S4 / Hana Das zeichnet Sie aus: Abgeschlossenes betriebswirtschaftliches Studium (z.
MySQL Python Google BigQuery Gitlab What you will do Conduct in-depth analyses on shop user behavior to uncover actionable insights Drive shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements Shape the success metrics for our shop, developing and monitoring KPIs that directly impact millions of users’ shopping experiences Provide full-cycle A/B test analytical support to optimize shop performance Define tracking requirements and support QA of tracking implementations to ensure data accuracy and reliability Design and implement advanced dashboards, enabling self-service analytics across the organization Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights, supporting business decision-making Who you are Advanced proficiency in SQL for complex data analysis and querying large datasets Expertise in e-commerce KPIs and funnel analysis Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus) Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation Strong understanding of customer segmentation and cohort analysis in the e-commerce context Proactive and self-driven, with the ability to work independently and drive projects from conception to completion Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders Pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions.
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.