We are searching for resourceful and innovative Lead Data Analyst to join our fast-growing team in Berlin. You will lead a team of Data and Business Analysts and work closely with Data Scientists and Engineers. As an ad tech company, data is at the core of everything travel audience does. By joining us, you will find ways to provide relevant data insights to our business and play an integral part in helping us become the world leader in the travel advertising domain

ABOUT THE TEAM Department: Markets  Reports to: Team Lead  Team Size: >5 Recruiter Name, E-mail: Cristiana Martins, cristiana.martins@zalando.de As a Team Lead Engineering, you will integrate data sources from all Zalando and enrich them via ETL and Data Science. You will create interfaces and reports for self service and be the bridge between tech and commercial teams. WHERE YOUR EXPERTISE IS NEEDED Lead a team of engineers with different backgrounds such as big data engineers, front end developers and ad-hoc consultants and grow tech mastery and best practices trough leadership and living our valuesExtend the team’s technology, which includes a move towards AWS and Data Science technologies and toolsDiscover new business use cases and data sources, accessing more than 100 data sources in our Data Lake and processing them for business critical applications.

Als Data Warehouse/ ETL-Developer (m/w) bei Senacor wählst du deinen Heimatstandort selbst: Berlin, Bonn, Frankfurt, Hamburg, Leipzig, München, Nürnberg, Stuttgart oder Wien. Nach dem 4-3-1 Prinzip bist du 4 Tage beim Kunden vor Ort, maximal 3 Nächte am Projektstandort und freitags an deinem Heimatstandort. Deine Aufgaben Implementierung komplexer Datenintegrationsprozesse auf Basis moderner ETL-Frameworks (Ab Initio, SAS, Informatica, Talend, etc.) Modellierung von technischen Datenbankmodellen basierend auf unterschiedlichen Modellierungsparadigmen (3NF, Data Vault, Star, …)

Opinary has one mission: We make opinions matter- on the web and in real life. Globally, people use our polling technology to share their opinion with one simple click. The instant visualization of opinion trends enables our users to engage in an open dialogue and to understand complex debates. By harnessing the latest advances in Machine Learning, NLP and a distributed systems design, our platform ensures that our content always stays relevant to the reader.

Für die HALLESCHE Krankenversicherung suchen wir standortübergreifend für die Direktionen in Stuttgart und Oberursel eine motivierte Persönlichkeit, die unser engagiertes Team im Bereich Anwendungsentwicklung Business Analytics unterstützt. Ein verantwortungsvolles Aufgabengebiet wartet auf Sie:   Modellierung in IBM Cognos Framework Manager, Versionen 10.2.2 und 11Berechtigungsverwaltung und Pflege sowie Installation und Wartung in den genannten IBM-Cognos-VersionenLeitung technischer ProjekteÜberzeugen Sie uns mit folgenden Qualifikationen:   Fachlich relevantes Studium oder entsprechende AusbildungAusgeprägtes Know-how im IBM-Cognos-Umfeld mit fundiertem Wissen in der Berechtigungsverwaltung, Installation und WartungKenntnisse in Red Hat Enterprise Linux, IBM DB2 sowie Oracle SQLErfahrung in der ProjektleitungAnalytisches Denken, Engagement und hohe LernbereitschaftFlexibilität, Teamgeist und ReisebereitschaftEs erwartet Sie ein Arbeitsplatz mit Atmosphäre, an dem Sie aktiv unterstützt werden und wo ein offener, fairer und teamorientierter Umgang selbstverständlich ist.

This role sits within the Data- and Tech-organisation and directly partners with Data Scientists and Product Managers to help create valuable products for our users. We’re looking for a highly skilled engineer, who is passionate about turning data into valuable product for our customers. Your Responsibilities: Successfully partner with Data Scientists to build advanced services and architecture to provide scalable data products for a high-traffic web platform Successfully partner with system operators to design data generation and provisioning architectures.

ABOUT THE TEAM Department: Merchant Operations Reports to: Engineering Delivery Lead Team Size: <5 Recruiter Name, E-mail: Iulia Crai, iulia.crai@zalando.de As Data Engineer in the Merchant Operations team you will build the data warehouse for marketplace and processing big amounts of raw data. You work closely with key stakeholders in product, engineering and operations to form deep understanding of marketplace dynamics WHERE YOUR EXPERTISE IS NEEDED Own, design and organise all data flows from scratchInvolve product and engineering to integrate various sources of dataDevelop rigorous data science models to aggregate inconsistent real-time signals into strong predictors of market trendsAutomate and own the end-to-end process of modelling and data visualization.

Akelius buys, upgrades and manages residential properties. The company owns 47,000 apartments in Sweden, Denmark, Germany, France, Canada, England and the United States. We are a rapidly growing international company more than eight hundred employees around the world. An integral part of our company is the Technology department. The Development team consists of more than one hundred employees mostly based in Berlin. We offer excellent opportunities for intellectually curious people.

If you are keen to work in a highly innovative space with amazing colleagues, push the envelope and build something from scratch, look no further: We have been recently coined the fastest growing fintech globally, having mediated more than EUR 10bn in a little bit over 3 years. We are building a completely new BI team as part of our growth strategy, in order to harness the value of the vast amount of data our open banking platform produces.

Opinary has one mission: We make opinions matter- on the web and in real life. Globally, people use our polling technology to share their opinion with one simple click. The instant visualization of opinion trends enables our users to engage in an open dialogue and to understand complex debates. By harnessing the latest advances in Machine Learning, NLP and a distributed systems design, our platform ensures that our content always stays relevant to the reader.

Agile Software-Entwicklung mit Java und / oder speziell Big Data Entwicklung auf Hadoop Integration von großvolumigen Datenquellen (Clickstream, AdServer, etc.) mit Hilfe von ETL/ELT Werkzeugen wie z.B. Talend Weiterentwicklung und Ausbau definierter big data, high traffic und high availability Use Cases Entwicklung und Umsetzung von Design Patterns im klassischen und / oder im Big Data Umfeld Modellierung und Implementierung komplexer Data Integration Patterns im klassischen und / oder Big Data Umfeld Konzeption und Entwicklung von Software-Komponenten, gerne auch als Fullstack BI Entwickler Implementierung von Platform APIs (WebServices; REST, SOAP) Research zu aktuellen Trends im Bereich Agile BI, Big Data und Software Tools & Methoden Link: https://www.

The Westwing mission is to inspire and make every home a beautiful home. We are on a quest to bring the wonders of eCommerce for home & living to our customers in 11 European countries. In less than 7 years on the market, we have grown to 220 million Euros in revenues in 2017. More importantly, the opportunity ahead of us is massive. The Westwing team is the secret to our success. Around 1.

Your Job:  Carry out data analyses using statistical methodsEstablish statistically significant resultsRecommend courses of action and visually represent complex relationships in simplified images and graphsUtilize current data mining tools such as SQL, R, and TableauTake part in exciting projects in collaboration with employees from a wide variety of specialist departmentsYour Profile:  A very good degree with a focus on statistics, data science, finance, or other fields with a significant mathematical and statistical componentBasic knowledge of economic conceptsRelevant professional experience is desirableExperience with SQL database queriesVery good knowledge of German and English, both spoken and written Link: https://www.

About the team:  We are a team of data scientists and data engineers that work on prototyping and testing various new data-driven products. When a product shows promise, we also move it into production. To support our ambitious growth, we are now looking for a Principal Data Scientist (M/F/X) to join our team in Berlin, Germany starting as soon as possible. Your tasks - Paint the world green Your purpose • You will work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNA

At HelloFresh, we want to change the way people eat. Over the past 5 years we’ve seen this mission spread beyond our wildest dreams. So, how did we do it? Our weekly recipe boxes full of exciting recipes and lovingly sourced, fresh ingredients have blossomed into a community of inspired, energised home cooks that expands across the globe. Now we’re the fastest growing company in Europe, active and growing in 9 different countries across 3 continents.

Was Dich erwartet: Im Zuge des Aufbaus einer neuen BI Landschaft übernimmst Du die Rolle des IT Product OwnersAls zentraler Ansprechpartner für unsere Fachbereiche hast Du den Überblick nicht nur über unsere komplette BI Infrastruktur, sondern auch über die neuesten BI Technologien auf dem MarktUnterstützt durch unsere BI Teams entwickelst Du unsere BI Platform mit unserem Enterprise Data Warehouse, der Big Data Platform und den Real-Time-Analytics Lösungen in einem agilen Umfeld kontinuierlich weiterAuch für die Konzeption, Umsetzung sowie Koordination anschließender Tests bist Du mitverantwortlichWas Du mitbringen solltest:

A day in this job In this position you will be able to: Apply data science in areas like credit risk modeling, customer acquisition and retention, debt collection optimization, product personalization, and conversion maximization;Develop machine learning expertise beyond basic supervised and unsupervised learning and mentor junior team members;Demonstrate your leadership skills and manage a data project or product, which you will define through frequent interactions with experienced financial-services professionals;Prototype and subsequently operationalize innovative, data-intensive, end-to-end fully automated machine-learning-based decision engines.

Seit 50 Jahren steht die ESG für umfassende Expertise im IT- und sicherheitsrelevanten Umfeld. Unter der Marke CYOSS unterstützen wir Kunden aus Industrie und Behörden durch den Einsatz modernster Big Data Technologien und Methoden der künstlichen Intelligenz dabei, relevantes und handlungsfähiges Wissen aus Massendaten zu ziehen und damit die großartigen Chancen einer vernetzten Welt zu nutzen. Arbeiten Sie mit Spezialisten an hochkomplexen Projekten und entwickeln Sie sich mit uns weiter. 

Marketing Data Analyst (BI) (m/w) VOLLZEIT Hamburg, Deutschland Mit Berufserfahrung Die IUBH Internationale Hochschule GmbH mit ihren Bereichen IUBH Campus Studies, IUBH Fernstudium und IUBH Duales Studium hat sich seit ihrer Gründung 1998 zu einer der erfolgreichsten privaten Hochschulen in Deutschland entwickelt. Das Studienangebot umfasst deutsch- und englischsprachige Bachelor-, Master- und MBA-Programme mit über 30 Spezialisierungen für verschiedenste Branchen und Aufgabenbereiche. Das Angebot erstreckt sich dabei von Studiengängen wie Marketing oder BWL, über Gesundheitsmanagement und Wirtschaftsinformatik bis hin zu Wirtschaftsrecht.

As a Data Architect at FINEWAY, you’ll be responsible for designing a scalable & maintainable infrastructure to shape the future of travel. This includes: Drafting, documenting & communicating designs, implementation plans & business models.Working with product owners as well as development teams to assess & define functional & technical requirements.Reviewing your peers’ designs & code to ensure quality.Developing in an event-based micro-services architecture.Learning new technologies independently & evangelizing them.Job Requirements