Data Analyst (m/f) Dresden | full-time Your tasks Exploring data to find actionable insights and make product recommendations through funnels, cohort analyses, long-term trends, user segmentation, regression models and moreIdentifying, translating, prioritizing and informing important product questions with dataSetting up, analyzing and promoting good practices for multivariate experimentsWorking with engineering to implement, document, validate and monitor our logging and metricsCrafting simple, dependable data pipelines and automated reporting to surface metricsWorking towards creating a data-informed culture at LOVOOWe offer

Data Assessment Solutions GmbH (DAS) ist ein schnell wachsendes Softwareunternehmen und führender Lösungsanbieter für Consulting Operations Management. Mit unserer Software setzen führende IT-Services-, Consultingund Engineering-Unternehmen ihre Geschäftsprozesse effi zient um. Unsere Produkte zeichnen sich durch eine moderne Cloud-Architektur und den Einsatz innovativer Machine- Learning-Techniken aus. Software von DAS wird weltweit in über 30 Ländern von großen Konzernen und mittelständischen Unternehmen genutzt. Ihre Aufgabenbereiche • Arbeit im gesamten Entwicklungsprozess, von der Konzeption bis zum Deployment,

If you really want to make a difference – make it with us Mobility goes digital. The Mobility Division is the world’s leading provider of mobility solutions that enable the efficient, safe and environmentally friendly transport of people and goods – and help improve the quality of everyday life for millions of people on all continents. Driven by innovation, we develop intelligent solutions for the increasing digitalization of the transport sector.

Delivery Hero is building the next generation global online food-ordering platform. Our awesome international team already operates in over 40 countries worldwide to ensure hungry customers get to their favorite takeaway food the fastest way possible. The company has grown from its inception in 2011 to become the world’s largest food-ordering network. This is an exciting time for Delivery Hero with a huge and rapid amount of growth in countries, market size and opportunities.

We are looking for a DataEngineer to help make the vast amount of data we produce organized and valuable so everyone in the company can make great decisions through insights. You will work on data pipelines, data storage, analytics tools, data quality and more.  About GetYourGuide: With 400+ employees from 50 nationalities, GetYourGuide is on a mission to turn trips into amazing experiences, using our product and technology to change the way travelers find and book things to do and explore their destination.

Data Analyst – Consultant/Senior Consultant (f/m) Finance Advisory Services / EMEIA Financial Services in Zürich  EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.

XING is the social network for business professionals with millions of members all over the world. Help us shape the future - for a better working life! We currently have an opening at our headquarters in Hamburg. The XING Growth team helps prospects find our platform when they need it, onboard users easily and provide quick access to useful functions and features. This cross-functional team consists of around 30 people working in Development, Project Management, Product, User Experience and Quality Assurance.

As part of our strategy for future growth, we are creating a state of the art Data Science Team that builds models on the vast data of our market leading Open Banking platform. Compared to other technology companies of similar size, the set of problems that we tackle is incredibly diverse, cutting across optimization, prediction, modelling, inference and mapping. If you are excited about extracting information from data to tackle these problems within a fast-paced, innovative environment and are passionate about analytics with the innate ability to assimilate large amounts of complex information making it both simple and actionable, then this is the job for you.

We want to grow our successful German business and therefore we are looking for Data Engineers (m/f) to join our team based in Munich, Germany. Your tasks You are in charge to build a data platform that manages our companies’ data flows The platform consists of several services (messaging, streaming, persistence, machine learning etc.) that can be used by our product development teams in a self-service way As a member of one of our product development teams, you build data-intensive applications on top of our data platform, ranging from data ingestion to processing and making use of the data to provide smart services to our customers and internal business users

As a member of our BI Team you will support CARFAX Business Development, Marketing and Data Procurement teams by analyzing vehicle (and other business relevant) data and providing reports in order to facilitate business decisions. You’ll need: • Experience with Microsoft Excel, relational database management systems (including SQL skills) and NoSQL databases • Experience in data visualization and dashboarding (Tableau, D3, Plotly, and Metabase) • Experience with tools such as Pentaho and Jupyter Notebooks • Experience with programming languages such as Python or R is a plus

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 more than 30 million members in 14 countries on three continents. In less than 6 years on the market, we have grown to more than 250 million Euros in annual sales, and the opportunity ahead of us is massive. The Westwing team is the secret to our success.

Der SPD-Parteivorstand sucht für das Analyseteam zum nächstmöglichen Zeitpunkt einen /eine Data-Scientist (Referent/Referentin). Die Stelle ist befristet bis zum 31. Oktober 2018 in Vollzeit zu besetzen. Das Analyse-Team der SPD erstellt laufend Analysen des Datenbestands der SPD, um strategische Entscheidungen zu informieren und die Allokation von Ressourcen im Straßen- und im Onlinecampaigning zu optimieren. Der Data-Scientist*ist in jeden Schritt der Datenerfassung und des Analyseprozesses involviert. Sie erstellen Vorhersagemodelle für unterschiedliche Aktivitätsbereiche der Partei und arbeiten Daten so auf, dass andere Fachbereiche informierte Entscheidungen treffen können.

About Us Beat is a platform that transforms the way people move in their cities. Tap on a button on your smartphone and you get a ride in just a few minutes. In early 2017 Mytaxi, a subsidiary of Daimler A.G, acquired Beat. Beat started its life as Taxibeat, 6 years ago in Europe and 3 years ago expanded its operations to Peru where it serves millions of rides every single month.

About Us Beat is a platform that transforms the way people move in their cities. Tap on a button on your smartphone and you get a ride in just a few minutes. In early 2017 Mytaxi, a subsidiary of Daimler A.G, acquired Beat. Beat started its life as Taxibeat, 6 years ago in Europe and 3 years ago expanded its operations to Peru where it serves millions of rides every single month.

DAS MACHEN SIE MÖGLICH: Sie analysieren Daten aus den verschiedenen Geschäftsfeldern des Konzerns. Sie entwickeln in einem dynamischen Team neue Use Cases in enger Zusammenarbeit mit verschiedenen Fachbereichen. Sie unterstützen die Kollegen bei der Entwicklung von Marketingstrategien und der Auswertung und Beurteilung von Kampagnen. Sie bringen Geschäftsprozesse mit Ihren Analysen voran. DAS BRINGEN SIE MIT: Sie verfügen über ein abgeschlossenes Studium idealerweise der Statistik, Mathematik, Wirtschaftsinformatik oder eines verwandten Studiengangs.

Your Tasks Improvements of our software & systems architecture to growing challenges and data amounts while considering performance, scaling, and data qualityDevelopment, design and implementation of a company-wide data pipelineIntegration of data from various systems into flexible and consistent representationsDevelopment, coding, updating and maintaining database/data warehouse processesManaging the process that all people and IT systems in the organisation have an easy access to the data using various sources and interfacesClose collaboration with the engineering, product, and BI teams in an agile software development process Your Profile

As a startup with significant funding, we are seeking a dedicated Data Scientist who is ready to shake the publishing industry and work on the next best-seller prediction algorithm. You are/have: An enthusiastic readerExcited about discovering future bestsellersStrong mathematical backgroundAdvanced knowledge in one of the following programming languages: R / PythonNot afraid of writing complex SQL queriesSome knowledge in Node JS / Ruby would be a plusStartup experience is a clear plusYou will be responsible for:

Take part in the digitalization of well-known brands. Webtrekk is a customer intelligence platform that allows you to connect, analyze and activate your user and marketing data across all devices. Founded in 2004, Webtrekk is driving innovation in high-end Digital Analytics and today has more than 150 employees in 5 locations around the world to set new benchmarks in Digital Marketing. Our powerful high-traffic platform is designed to process more than 300 terabyte raw data and up to 60k requests/sec.

From a technology perspective, we have thousands of sensors with our own firmware installed in our customers’ retail stores around the world. We process terabytes of data via machine learning algorithms and provide a self-service platform for our analytics solutions. We offer a great opportunity for personal and professional growth in a multicultural environment. We work, learn and develop while having lots of fun on the way. Join our team as a DWH/Database Engineer.