Conduct initial calculations and prepare business cases for Group Controlling. Create reports, analyses, and decision-support materials. Prepare internal and external presentations. Maintain accurate data in the CRM system.
Etablierung von KPI’s und Weiterentwicklung bestehender Instrumente Etablierung, Monitoring und Weiterentwicklung von KPIs, Dashboards und Reports zur Steuerung der Working-Capital-Performance in enger Zusammenarbeit mit Group Controlling. Leitung und Weiterentwicklung bestehender Instrumente und Prozesse (z.B.
Prüfung von Sonderlösungen Überwachung und Umsetzung von Preisanpassungen Erstellung und Pflege von Reports, Auswertungen und Vertragsübersichten Erstellung der Pauschal- und Sonderleistungsfaktura in Abstimmung mit der Operativen Unterstützung im Debitoren- und Mahnwesen Das zeichnet Sie aus: Abgeschlossene Berufsausbildung, z.
Your Responsibilities: Supporting supply chain processes in the context of M&A integrations and tech transfers, including further development of processes Guiding and training junior specialists and coordinating cross-functional project teams Coordinating with internal and external partners and contract manufacturers to ensure smooth integration and efficient operations (e.g., in conference calls and on-site meetings) Ensuring product availability in key markets: Overall overview and monitoring of production, transport, or release status down to the warehouse Preparing and presenting decision-relevant analyses, reports, and recommendations for action to senior management. Presenting project progress and critical issues to steering committees Your Profile: Completed degree in business administration, engineering, or a comparable field Required professional experience: 5 years, ideally in the area of supply chain or project management Alternatively, you have experience in regulatory affairs, quality assurance, or pharmacovigilance You already have some experience in coordinating cross functional teams and complex projects You are characterized by analytical thinking and a structured and results-oriented approach to work You communicate and negotiate confidently in German and English and have a good working knowledge of MS Office; knowledge of SAP is an advantage Your way of working is proactive, solution-oriented and communicative Unser Angebot: A growing company with a diverse and open-minded working environment with employees from around 40 different countries Flexible working models adapted to your needs (e.g. up to 100% remote working and up to two months from abroad within the EU possible), working time account with time off in lieu, 30 days' holiday Flexible benefits budget that you can use according to your individual preferences, such as a higher employer contribution to the company pension scheme, fitness & health offers or subsidies for travel or meal costs.
Entwickle aussagekräftige KPIs und implementiere smarte Tracking-Systeme. Analysiere Budgets, überwache Performance und erstelle Reports, die wirklich Mehrwert schaffen.Digitale Plattformen gestalten Baue kollaborative Teamsites auf, die Teams wirklich verbinden. Passe Plattformen an individuelle Projektbedürfnisse an und bringe allen bei, wie sie optimal genutzt werden.
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: 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.
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.
As a Principal position, this role requires a high degree of autonomous working and reports directly to the Director of Engineering. You will be the primary technical lead responsible for all app teams, driving technical discussions and ensuring our solutions are robust and forward-thinking.
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.
Own and continuously improve the sorting & ranking logic by balancing commercial KPIs (e.g. conversion, revenue, margin), customer relevance, and operational constraints Work data-driven, leveraging A/B testing, reports, and analyses to derive actions that are truly oriented towards customer needs and business impact Collaborate closely with Data Science and Engineering to implement scalable, performant, and AI-supported ranking solutions Manage and communicate with all relevant stakeholders across Business, Tech, and Analytics Translate stakeholder demands, commercial goals, and operational requirements into actionable and scalable product solutions Triage operative issues, identify technical dependencies, and evaluate business impact Lead cross-team initiatives and collaborate closely with other Tech Teams (e.g.