MedAdvisors verändert mit modernen BI-Lösungen und medizinischer Kompetenz das Management von Krankenhausprozessen mit dem Fokus auf Behandlungsqualität. Digitale und schnelle Analysewerkzeuge sind in Zukunft ausschlaggebend für die Bewältigung der komplexen Anforderungen im Krankenhaus. Wir suchen deshalb Spezialisten, die diese Entwicklung proaktiv mit uns vorantreiben.
Ihre Aufgaben:
Planung, Design und Konzeption von interaktiven Dashboards und Berichten mit TableauAnalyse und statistische Untersuchung von komplexen DatensätzenZusammenarbeit mit den Datenbankentwicklern und Vorgabe hinsichtlich benötigter DatenfelderWünschenswert: Erfahrung im GesundheitswesenWas wir uns von Ihnen wünschen:
What you will do
Conception, development and optimization of a data and integration architecture with classic DWH- and data management-solutions (e.g., AWS, traditional ETL)Management of (meta-)dataDefinition of data flows and creation of interfaces for the connection of external systems (API) as well as scaling to multiple machines (incl. generation of disaster recovery systems)Very high product responsibility and the possibility to significantly shape the internal and external analytics agendaClose collaboration with our CFO and CTO and a dynamic team of statisticians, developers and analystsEvaluation and testing of new technologies – high degrees of freedom for implementing new technologies, such as Machine LearningWhat we expect
The world of esports is experiencing explosive growth and with that growth comes a wealth of opportunities. In a billion-dollar industry, where data is king, we at Bayes Esports Solutions have claimed our place as the newest leader in the market.
With our cutting-edge technology-driven products, we solve real issues that esport organizers, teams and media companies are facing everyday backed up by our very own machine learning algorithms. Partnerships with some of the biggest names in the esports and betting industries put Bayes in a unique position that allows the team to make a real impact in this vibrant and exciting space.
Your responsibilities:
You develop autonomous analyses on customer behavior and product usage which drive growth and inform product development.With your passion for number crunching, testing and science you help foster a data-driven mindset across the organization, ensuring that data is at the heart of every decision we make.Together with your fellow stakeholders you design data marts enabling self-service analytics.On a daily basis you collaborate with different teams (e. g. Risk, Marketing, Product Development/Management) to deliver data and reports.
Teraki is a Berlin based tech driven company enabling true mobility. We stand for innovation in the rapidly developing connected car, self-driving and 3D mapping world. Teraki provides the data reduction and data processing solution for Automotive (IoT) applications and enables the launch of new applications by reducing costs. We help our customers on the challenges that are posed by the exploding amounts of data in connected cars for all sensor, video and 3D mapping data.
riskmethods was recognized as a 2019 Top Employer to Work!
Build trustworthy relationships with stakeholders and drive the automation and digitalization of processes forward!
For our Munich office, we are looking for a Data Engineer (m/f/d) to play a crucial role in our Machine Learning Team.
What will you do:
You will play a crucial role in our future development as a company. In particular we intend to grow our efforts in supporting our Risk Intelligence service – finding web/social media documents about the companies we monitor and rate them based on their content – and in making use of the network structure inherent in our domain for all areas of predictive risk scoring and event impact analysis.
Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.
Oliver Wyman Digital is an exciting internal start-up within Oliver Wyman, delivering world-class applications to give our clients a competitive edge. We work across the full technology stack from databases to analytics and web interfaces. Now with over 150 specialists and support staff in 16 major cities across the world, we’re committed to growth that conserves our start-up agility while expanding our opportunities for world-class work.
Oliver Wyman is a global leader in management consulting.
At FinCompare we are on a mission to simplify SME finance by using technology to offer businesses a convenient one-stop destination for all their financing needs. In a non-transparent financing market, we are providing access to and the opportunity to compare modern and suitable financing products. Therefore, we are looking for smart team members to join us on our journey to become Europe’s biggest, most advanced and reliable SME financing platform.
Über Senacor
Als Spezialist für Business IT-Transformationen gestalten wir mit über 550 Mitarbeitern die IT führender Finanzdienstleister und Industrieunternehmen. Als verlässlicher Partner schaffen wir mit unseren Kunden wie z.B. Deutsche Bank, BMW, Daimler, Postbank und GLS die Basis für deren Business von Morgen. Wir zählen seit Jahren zu den wachstumsstärksten Unternehmensberatungen Deutschlands.
Du möchtest an komplexen analytischen Problemen arbeiten und dabei greifbare Veränderungen gestalten?
Steige nach deinem Hochschulabschluss oder deiner Promotion bei uns als ETL-Entwickler ein und verwandle mit uns Daten in Wissen.
Tasks:
You will join the data team and shape data and technology driven solutions across creditshelf’s various teams (Risk, Sales, Marketing, etc).You are instrumental in building and evolving our data architecture, which underpins our credit risk analysis as well as the analysis / business intelligence of the entire company.Requirements:
Must have:
3+ years of experience as Data Engineer/Data Analyst/Developer or similar jobVery good knowledge of programming languages: Python and SQL.Experience with relational databases (e.
Data Science Manager (m/f/x)
HelloFresh
At HelloFresh, our mission is to change the way people eat - forever. From our 2011 founding in Europe’s vibrant tech hub Berlin, we’ve become the global market leader in the meal kit sector and inspire millions of energised home cooks across the globe every week.
We offer our meal kit boxes full of exciting recipes and thoughtfully sourced, fresh ingredients in more than 10 countries, operating from offices in Berlin, New York City, Sydney, Toronto, London and Amsterdam.
As a Data Engineer (f/m/diverse), you’ll be designing and implementing ETL and data processing solutions through our modern cloud stack. Your systems will suck up data from different products we offer to our customer base (Web and App) and pump that data harmonized towards the consuming systems. You are the enabler of the data analyst team to give them the power of getting the right data at the right time from the right systems.
YOUR TASKS:
Help internal clients with pragmatic strategic & ad-hoc data requirementsWork closely with data scientists and engineers to build personalized experiences for our usersDrive research initiatives to innovate and support our data driven approachPerform data extraction, aggregation from multiple sources, including Google Analytics / GoogleBigQueryCreate confidence in our data by tests, automation, monitoring and neat visualizationsYOUR PROFILE:
You are eager to learn new technologiesYou are able to transform solutions into code (Scala is a plus)SQL Basic skillsDevops mindset is a plusClear understanding of Map/Reduce paradigm.
Relayr is one of the fastest growing and most successful industrial internet of things (IIoT) organizations. With around 250 employees and 5 years of company history we are successfully helping companies in industrial markets to navigate disruption and stay relevant. Our unique combination of applying world-class technology, powerful financial and insurance offerings, with dedicated professional services allows us to deliver guaranteed business outcomes to customers.
Recently, through its subsidiary Hartford Steam Boiler (HSB), Munich Re has acquired 100 percent of relayr, valued at US$300 million.
Your Role:
In close collaboration with the Management team you are responsible to develop and implement a vision for PAIR Finance’s data scienceYou are responsible for the strategic and operational leadership of Data Science, including technical and disciplinary leadership and development of a dedicated, growing teamYou collaborate on an iterative design process from a basic prototype to the first production version and act as technical lead for data scientists and as a go-to-person in data sience topics in the organisation (Product, Marketing, Commercial)You recognize and develop meaningful data models using Python, R or SAS and Data Mining & Machine Learning MethodsYou concept and implement analytical models in technical systems and simulate model applicationsYou find creative designs of the visualization of large amounts of data and complex data setsYou experiment with new technologies, methods and best practices to acquire new skills to grow the technical infrastructure necessary to scale data science and to find clever solutions to the unique challenges we will encounter along the wayOur Requirements:
IMAGINE - What you will work on:
The aim of AIT’s Transport Infrastructure team is to develop solutions for tomorrow’s mobility.You will develop software and configure new measuring systems for monitoring systems used in research (e.g. video systems/laser scanners for our high-performance measurement vehicle RoadSTAR) and conduct in-depth data analyses with the data obtained.ENGAGE - Your day-to-day work
You implement high performance data processing applications which are used by our researchers to produce data products ranging from road infrastructure assessment to simulation data.
The opportunity
Founded in 2013 in Cologne, Fitogram provides software solution for thousands of fitness professionals across Europe. Our software helps manage services such as online booking, customer management, payments and accounting. We take pride in building software enjoyable to use.
Our latest product FitogramPro, links the marketplace with a SaaS solution for customer, course and appointment management and thus offers an all-in-one solution. For the first time ever, fitness providers have the opportunity to manage and win customers within one single platform.
HelloFresh
At HelloFresh, our mission is to change the way people eat - forever. From our 2011 founding in Europe’s vibrant tech hub Berlin, we’ve become the global market leader in the meal kit sector and inspire millions of energised home cooks across the globe every week.
We offer our meal kit boxes full of exciting recipes and thoughtfully sourced, fresh ingredients in more than 10 countries, operating from offices in Berlin, New York City, Sydney, Toronto, London and Amsterdam.
Relayr is one of the fastest growing and most successful industrial internet of things (IIoT) organizations. With around 250 employees and 5 years of company history we are successfully helping companies in industrial markets to navigate disruption and stay relevant. Our unique combination of applying world-class technology, powerful financial and insurance offerings, with dedicated professional services allows us to deliver guaranteed business outcomes to customers.
Recently, through its subsidiary Hartford Steam Boiler (HSB), Munich Re has acquired 100 percent of relayr, valued at US$300 million.