Data Analyst - Forecasting (all genders)
& THE TEAM In the heart of Berlin, we always have our finger on the pulse.
& THE TEAM In the heart of Berlin, we always have our finger on the pulse.
ARX Robotics develops modular robotic platforms and autonomy software for military and security forces across Europe.
VOQUZ ist ein weltweit agierender IT-Konzern mit über 300 Kolleginnen und Kollegen in 8 Ländern auf 3 Kontinenten, der Großunternehmen und d
Tätigkeiten Verantwortung für die strategische Ausrichtung, den Aufbau und die Weiterentwicklung der Datenstrategie und des KI-Portfolios in
We are looking for a Data & AI Solution Expert to shape the technical direction of our enterprise Data & AI ecosystem and turn advanced data
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Als Senior AI Platform Architect (w/m/d) gestaltest Du die nächste Entwicklungsstufe unserer hybriden KI-Plattform und verbindest lokale KI-
Our Exciting Opportunity We are seeking a Senior AI/ML and Data Engineer to lead the design and implementation of scalable data platforms an
The Opportunity Lead Hitachi Energy’s Business Intelligence Competence Center and drive enterprise-wide analytics excellence.
Build and maintain relationships with business stakeholders and frame business issues, value hypotheses and success metrics; translate initi
Entwirft und verantwortet Compute-Infrastruktur für große KI- und ML-Systeme inkl. verteiltem Training, und führt Architekturentscheidungen und Teams.
Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt ML-Modelle in Produktion und überwacht deren Performance und Infrastrukturgesundheit.
This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy.
This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy.
of an Engineering Manager at Canonical As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets.
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets.
Are you ready to shape the future of Data & AI?
You want to help build the central MLOps/LLMOps Platform that supports over 80 Data Scientists and ML Engineers worldwide?
Sprachmodelle in Fachanwendungen integrieren: RAG mit Retrieval und Reranking, Tool-Calling, MCP-Server, Multi-Agent-Abläufe Evaluierung auf
Tensordyne engineers build software on a scalable, high-throughput internal developer platform.
Führt Teams bei Software- und ML-Systemen zur Zahlungsrisiko- und Betrugserkennung, verantwortet Architektur und begleitet Produktivsetzung und Incident-Reviews.
Design and implement scalable data ingestion pipelines for structured and unstructured data sources, including manufacturing systems, edge d
Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt KI-Modelle in Produktion und überwacht Modell- sowie Infrastrukturleistung.
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
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& THE TEAM In the heart of Berlin, we always have our finger on the pulse. The customer service at Zalando and Zalando Lounge is the voice and ear of Europe s leading online fashion platform. We impress with our understanding and expertise.
We create a unique shopping experience and take feedback seriously to optimize our services and processes. We are proud of what we do and we turn our customers into fans. In the workforce management department, we are the strategic heart of customer care.
Strategic capacity planning, accurate staffing and speedy responsiveness to the Customer Care Operations teams are our core mission. The forecasting team is responsible for analysing trends and forecasting the demand for the organisation, providing analytical support to our customer care operations functions. WHAT WE’D LOVE YOU TO DO (AND LOVE DOING) As a Data Analyst for Forecasting, you will act as the bridge between deep technical modeling and strategic business ownership, ensuring our operational teams have the exact forecast they need to succeed. - Own the forecast: Predict and analyze expected contact volumes for internal teams and outsourcing partners, directly driving capacity planning across a large-scale, multi-site customer care network. - Build and optimize models: Perform deep statistical analyses and leverage machine learning to continuously improve the accuracy, reliability, and explainability of our time-series forecasting models. - Design experiments: Create research and experimentation plans, selecting the most appropriate methodologies and metrics to extract actionable insights from customer service demand data. - Empower stakeholders: Design, maintain, and expand our reporting and data visualization portfolio to deliver clear, accessible insights to department management and operational leaders. - Bridge technical and business domains: Translate complex business challenges into robust analytical approaches, driving strategic initiatives directly connected to your forecasting expertise.
WE’D LOVE TO MEET YOU IF We’re looking for a blend of technical capability, analytical mindset, and business pragmatism. - Advanced Analytics: Hands-on experience with predictive algorithms and time-series forecasting using state-of-the-art machine learning. Knowledge of driver analysis, anomaly detection and simulation is a strong plus. - Programming & Infrastructure: Strong proficiency in Python and SQL is a must. Experience with Databricks, GitHub (CI/CD), MLOps, AWS and AI-assisted coding tools will set you apart. - Data Pipelines & Visualization: Experience defining data tracking requirements, building simple ETLs, and designing dashboards using modern BI tools (e.g., Microstrategy, Looker, PowerBI, Tableau). - Pragmatic Problem-Solving: You know exactly when to build a complex ML pipeline and when a simple spreadsheet calculation is the smartest, fastest path forward. - Relevant Background: Proven professional experience as a Data Analyst, Business Analyst, Data Scientist, or Time-Series Forecasting Specialist with a strong technical background.
A degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or Business) is preferred. - Communication: Excellent English communication skills with the ability to thrive in an intercultural environment and clearly explain technical forecasting concepts to business stakeholders. OUR OFFER Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer. - 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days) - 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners - Family support, including counselling and dedicated services for parents and carers - Company pension scheme - Employee shares programme - Health and wellbeing options, including Wellhub - Mental health support and coaching - Development through our training platform and biannual peer-to-peer review - 2 paid volunteering days a year - Relocation assistance (subject to prior agreement) INCLUSIVE BY DESIGN If you think you have what it takes, we encourage you to apply even if you don t meet every single requirement.
You may just be the right candidate for this or other roles! At Zalando, our vision is to be the leading European technology platform for fashion and lifestyle – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.
We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential. We are committed to providing an exceptional and accessible candidate experience for everyone.
If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you. Discover more about our commitment to creating a diverse and inclusive workplace:
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