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.
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.
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: 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.
Asset Management, Finance, Legal, SAP) Konzeption und Betreuung neuer BI-Reports sowie die Weiterentwicklung und Optimierung bestehender Lösungen mit Power BI und Excel Dein Profil Erfolgreich abgeschlossenes Studium der Wirtschaftswissenschaften oder vergleichbare Qualifikation Begeisterung für Immobiliendaten, Auswertungen und Geschäftsprozessen sowie ein Verständnis für betriebswirtschaftliche Fragestellungen Sehr gute Kenntnisse in Excel und Power BI Qualitätsbewusster Teamplayer mit analytischer Problemlösungskompetenz, Eigeninitiative und Umsetzungsstärke Sprachkenntnisse: Deutsch C1 oder besser, Englisch von Vorteil Was wir Dir bieten Ein attraktives Gehalt sowie flexible Arbeitszeiten und teilweise Homeoffice Überdurchschnittlicher Zuschuss zur betrieblichen Altersversorgung Betriebliche Krankenzusatzversicherung Mitarbeiterrabatte Du-Kultur auf allen Ebenen Hoher Gestaltungsspielraum, ein wertschätzendes Arbeitsklima und eine offene Unternehmenskultur Attraktive Entwicklungsmöglichkeit in einem modernen, zukunftsorientierten Unternehmen Interne Weiterbildungsmöglichkeiten (Sirius Academy) Gesundheitsmanagement und Sportangebote Team- & Company-Events Über uns Du willst wirklich etwas bewegen?
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.
März 2027 Mitgestaltung moderner Data- und Automatisierungsplattformen Schnittstellenrolle zwischen Logistik, IT und Management Standort Berlin mit teilweiser Homeoffice-Möglichkeit Aufgaben Optimierung und Digitalisierung logistischer Prozesse im Shipping Umfeld Umsetzung von Automatisierungslösungen mit Power Platform, Alteryx oder RPA Datenextraktion aus SAP und Snowflake sowie Visualisierung in Power BI Konzeption digitaler Projektplattformen auf SharePoint und Kollaborationstools Erstellung von Dashboards und Management-Reports für Steering Committees Profil Studium oder Ausbildung im Bereich IT, Wirtschaftsinformatik, Logistik oder vergleichbar Praxis in Prozessdigitalisierung, Datenanalyse und Automatisierung Erfahrung mit Microsoft Power Platform, SQL, Snowflake und SAP Logistik Sicherer Umgang mit Excel, SharePoint, Power BI sowie Datenmodellen und Reportingstrukturen Sehr gute Deutschkenntnisse und gute Englischkenntnisse sowie strukturierte Arbeitsweise Unsicher, ob die Stelle zu Ihnen passt?
What you will do: Focus on the design, development, and execution of automated end-to-end tests Manage and prioritize bug reports, keeping their business value in mind Lead regression testing, identify and resolve defects to ensure the stability of high-traffic customer interactions and transactions Analyze complex workflows, data flows, and database interactions to identify potential areas for improvement in test coverage and performance Report bugs and reproduce them throughout the complete bug cycle Coordinate testing efforts to ensure the delivery of quality features Advocate for product quality within cross-functional teams Contribute to ABOUT YOU’s long-term automation strategy in testing Who you are: 4+ years of experience in QA, testing, and debugging REST backend applications, with strong knowledge of HTTP methods, status codes, headers, and error handling Proficient in API validation against OpenAPI/Swagger specifications 4+ years of experience with JavaScript/TypeScript or other OOP languages, using frameworks like Mocha/Playwright, and GitlabCI 2+ years of experience working with relational and NoSQL databases, focusing on integration and data flows Passionate about automation and building maintainable test suites that provide continuous feedback, with strong skills in both exploratory and automated testing Experienced with agile methodologies Excellent communication skills, including fluent written and spoken English for clear collaboration Solid understanding of transaction systems, gateways, customer data, and large-scale database structures Committed to identifying and addressing issues early, ensuring high-quality customer-facing features and services Benefits Hybrid working Fresh fruit every day Sports courses Free access to code.talks Exclusive employee discounts Free drinks Language courses Company parties Help in the relocation process Mobility subsidy Central Location Flexible Working Hours Professional training Dog-friendly office Feedback Culture Job Bikes YOU ARE THE CORE OF ABOUT YOU We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities, and ethnicities feel welcomed and accepted exactly as they are.
Maintain detailed notes and summary information within the Service Request Module and provide a regular summary. Reporting Track and report actual seat demand versus projected seat demand at the building level.Reports the current supply and capacity, and forecasts inventory changes, site metrics, activity and opportunities.
Your tasks: Leading the facilitation of the risk management process ensuring risk data are kept up to date according to ISO31000:2018 standards Engaging project teams proactively in risk management requirements and establishing a risk management culture Developing Risk Management Plans, maintaining risk registers, and preparing risk reports and analyses to support decision making Automating and increasing efficiency in risk management processes, tools, and templates Leading risk workshops with project teams, partners, and clients Integrating Quantitative Risk Analysis (QRA) methodology for Cost and Schedule, helping management interpret results and make decisions Ensuring consistency of approach and knowledge sharing across projects Your qualification: University degree in Engineering, Project Management, Statistics, Economics, Business Management, or related fieldProven experience in large engineering projects and consultancy environments with expertise in designing and leading risk management frameworksExpertise in Quantitative Cost and Schedule Risk Analysis (QCSRA) and proficiency with industry tools (@risk, Safran, ARM, Xactium)Mastery of MS Office tools and strong analytical skills to interpret complex technical informationExcellent project management, team collaboration, and communication skills in English; German is an advantage We offer you: A permanent employment contract Competitive remuneration Flexible working hours and home office options Opportunities for professional development and training Show us what drives and motivates youapply now and become part of our inspiring corporate culture!
Lead-Generierung und -Qualifizierung: Du identifizierst potenzielle Kunden über verschiedene Kanäle (LinkedIn, E-Mail, Events, Telefon, Partnernetzwerke).Erstansprache und Bedarfsermittlung: Du analysierst die Kundenbedürfnisse im Bereich Data Analytics, BI und Datenmanagement.Du bist zuständig für die Terminvereinbarung mit dem Solution- & Sales Management.Du verantwortest eigenständig die Weiterentwicklung der Opportunities bis zur Stage Sondierung sowie die Pflege und Dokumentation der Opportunities und Aktivitäten in Salesforce.In Zusammenarbeit mit Sales & Marketing optimierst du laufend unsere Kampagnen sowie die Zielgruppenansprache.Du beobachtest laufend den Markt und Wettbewerb im Umfeld von Data Analytics, Cloud-Services und IT-Consulting.Du unterstützt bei der Lead-Nurturing-Strategie und der Erstellung von Sales-Reports. Das bringst du mit Du hast ein abgeschlossenes Studium oder eine vergleichbare Ausbildung im kaufmännischen oder IT-Bereich sowie mindestens 5 Jahre Erfahrung im Outbound Sales im B2B Umfeld (nach Möglichkeit in der IT-Branche).
Receptionist (m/f/d) Key Responsibilities Greet and welcome visitors, clients, and employees in a professional, friendly manner.Manage access control, including visitor registration, issuing badges, and liaising with security teams.Handle incoming calls, emails, and inquiries, directing them to the right departments promptly.Provide accurate information and directions related to the office, facilities, and services.Receive, sign for, and distribute incoming mail and packages; manage outgoing couriers.Maintain a clean, organized, and presentable reception and lobby area.Organize meetings and event setup, including room reservations and basic hospitality arrangements.Assist with administrative tasks such as calendar management, data entry, and filing.Monitor and report any security or maintenance concerns to the relevant teams.Build positive relationships with visitors, clients, and employees through excellent service.Coordinate with vendors, building management, and facilities staff as necessary.Uphold company values and represent the brand with a positive and professional demeanour.Assist with any ‘ad hoc’ requirements or request related to functions and events.
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.
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.