At Bonial, the Data Team is one of the hubs between Online Marketing, Product, IT, Operations and Sales. It’s a unique position as we can explore data from different aspects and bring valuable insights to the company. Our mission is to transform data into the source of truth and thereby enable Bonial employees to make smarter decisions. We turn data into information then into knowledge, help teams understand their capabilities, support teams in shaping the right questions for their challenges and teach them how to use the tools we provide.

Web / Data Analyst E-Commerce (m/w/d) MarkkleebergVollzeitWir sind: apo-discounter.de, eine der innovativsten Versandapotheken Europas! Unsere über vier Millionen Kunden setzen auf Zuverlässigkeit, Schnelligkeit und einen Top-Service. Mit unserer verkehrsgünstigen und zentralen Lage nahe Leipzig können wir Verbraucher kontinentweit mit Qualitäts- und Markenprodukten beliefern. Wir suchen: Sie, wenn Sie Web / Data Analyst E-Commerce (m/w/d) sind und uns zum nächstmöglichen Zeitpunkt in Vollzeit (40 Stunden/Woche) am Standort bei Leipzig unterstützen möchten.

The Invia Group is a pan-European market leader in online travel sales and brings together leading travel portals in Europe under one roof. From package holidays to tailored tours, from business trips to family breaks, our offers for tourists serve a wide range of target groups. Among others, it operates the portals fluege.de and ab-in-den-urlaub.de.We are looking for open minded and creative people dedicated to help our customers reach their travel destinations. Transparency and collaboration in a healthy work environment is what we believe to be a major foundation of our success.

Main Duties and Requirements  Data capture, data cleansing, and data enrichment as a preparation step for bioinformatician/image analysis activitiesTrack the flow of data within ETL (extract, transform, load) and analysis pipelines, ensuring successful processing and data validityGeneration consolidation and re-formatting of image analysis readout tables resulting from different formats (csv., JSON etc.)Work together with bioinformaticians/ data scientists/image analysis specialists to identify optimal ways to prepare, curate and navigate their datasetsAutomating the way we currently capture data to save time, reduce errors and create high-quality datasetsDeveloping and applying FAIR data principlesWork with bioinformaticians/data scientist and data management teams to develop best practices in data wrangling/curation and storage experimental metadataWork with the software and information technology teams to specify, design, and implement the infrastructure for storing, searching, visualizing and integrating experimental datasets and resultsRequirements

We are looking for: A new team member for one of our international portfolio companies, with the headquarters in Austria. They are leading innovators and full-service providers within their digital commerce industry and they are represented in 90 markets and have 7 offices across the globe. Tasks Developing and maintaining the data infrastructure at our portfolio companyExpanding their data warehouse to cover further use cases in close collaboration with a team of data architectsResponsibility for connecting data to the data warehouse from different sources, such as backends, accounting tools, and many moreOwnership of the core analytical data models from a technical perspectiveProviding input on data models and analytical tasks from a data handling perspectiveRequirements

Want to be a Hero? - Join one of the leading global online food ordering and delivery platforms! We are looking for a (Senior) Data Engineer (f/m/d) to join the Competitive Intelligence team to help analyze complex data sets, build meaningful data products and bring to light valuable insights relevant across Delivery Hero’s markets. If you’re a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

Deine Mission Du trägst die Verantwortung für die Initiativen sowie die datengetriebenen Themen rund um Product AnalyticsIm engen Austausch mit Stakeholdern identifiziert du Use-Cases für datengetriebe Entscheidungen und setzt diese umDu unterstützt die Product Owner dabei, relevante KPIs für Ihre Produkte zu definieren, zu verfolgen und sicherzustellen, dass die generierten Insights stets akurat und verständlich sindDu baust Dashboards zur Visualisierung der Daten als Basis datengetriebener EntscheidungenDu etablierst für die unterschiedlichen Use-Cases Datenflüsse – und stellst damit sicher, dass Daten dort hingelangen, wo sie für unsere Businessprozesse benötigt werdenDu stellst sicher, dass die die Tracking-Implementierung funktional und up-to-date bleibtDein Gut und Gerne

Are you a detail-oriented and data-driven talent, looking for an impactful role at a Europe-based tech company operating on a global scale? Then look no further!We’re looking for a data engineer to take ownership of critical data pipelines and complex data crunching for our product analysis team. Working with huge data-sets, you’ll be responsible for developing our a/b testing pipelines and data products that impact the decisions of Product Managers and Business Owners across the company.

Your Tasks You will analyze and visualize real-world sales and advertising data, utilizing state of the art technologies like AWS Sage Maker, AWS Glue, Redshift, Cluvio, etc. You will help to develop and deploy data science pipelines on AWS You will help to optimize Database Tables and Queries You will design, implement and evaluate models and software prototypes You will work on your own project challenges Your Profile You already worked as a Data Scientist or equivalent positions for at least 3 years (less for a Junior position)

Otto.de, eine der größten E-Commerce-Plattformen Europas, hat einen vertikalen Systemschnitt mit fachlicher Abgrenzung (z.B. Search, User*in, Order oder Recommendations). Unsere crossfunktionalen Teams sind verantwortlich für die vertikalen Teilprodukte - fachlich, technisch und auch für den Betrieb der Microservices in der AWS. Technische Entscheidungen werden von uns und nicht durch Manager*innen getroffen. Ebenso gestalten wir die Art unserer agilen Zusammenarbeit selbst und finden gemeinsam neue Wege. Wir sind das Team Search und stellen sicher, dass unsere 8 Millionen Kund*innen die besten Suchergebnisse bekommen.

We are looking for a passionate Data Engineer to join our Analytics team and own our analytics data architecture. You will collaborate with the rest of the Analytics team and company stakeholders (such as product, UX, sales, marketing, medical, etc) to identify data needs and solve them to support insights that inform key business decisions. As part of the Analytics team, you will: Maintain and evolve our analytics data architectureHandle our data pipeline from Ingestion to StorageAlign with our Data Analysts and other stakeholders throughout the organization on data needs and implement themWork with our analysts and Product teams to strive for impact for our usersOwn our event tracking platform (Snowplow in Spark-EMR setup)Be the guardian of data qualityWork with engineering teams to define and implement new tracking events across all platformsEnsure interpretability of core data elementsOwn data modelling and data lineage across all data stores and toolsEnsure data from different sources are connected in the right way to ensure tracking across media breaks correctly and allow for attributionWe are looking for somebody who has:

Our story (the bitesize version): As Just Eat Takeaway.com, we’re one of the world’s biggest food delivery companies. Delivering dishes across 25 countries worldwide – from Berlin to Brisbane – we serve millions of food-lovers every day.Many of those orders happen with ‘Scoober’, our delivery logistics operation. From project managers to city coordinators and couriers, Scoober supports restaurants by taking care of their deliveries.Do you want to be a part of the future of food delivery?

Job description As a part of Amadeus, travel audience unit is the world’s leading data-driven travel advertising platform. The business unit harnesses the power of cutting edge machine learning practices to connect the leading performance-oriented advertisers with the biggest network of publishers, reaching millions of travellers. The strategy is to optimize advertising across the entire traveller journey, identify and create new audiences, and increase our partners’ reach, relevance and booking volumes. travel audience is looking for a (Senior) Data Analyst to join our Data Tribe.

* Relocation options available to either Munich, Madrid or Kosovo. Are you ready for a new challenge? Celonis has a simple goal: to analyze today’s processes to make tomorrow’s world more efficient. Every company – regardless of its size, industry, or history – can achieve the unbelievable. Celonis is one of the world’s fastest growing tech companies and the world market leader in a new category of analytics called Process Mining.

eBay Classifieds Group (eCG) is an innovative leader in online classifieds with ten brands that span the globe. Our sites help people find whatever they’re looking for in their local communities – whether it’s a job, an apartment, a sofa, a car, a concert ticket, financial services or new friends. Every connection made or item found makes a difference by creating a world where people share more and waste less. People who want to connect and trade visit our sites because they’re fun, easy to use and built on trust.

We are an independent team of technical diverse engineers and analysts taking care of the data platform at FRIDAY. Our mission is to bring data & statistics to FRIDAY’s products and processes which includes data ingestion, analysis and software development. For instance, last year we developed an internal product that simulates the yearly renewal process in car insurance in order to help our pricing team to adjust premiums to the best for our customers.

WHAT YOU WILL DO Our mission at Mimi is to give everyone the best possible hearing experience. We are the world’s leading provider of hearing-based audio personalization and digital hearing test technologies.  Our team has developed a biologically-inspired and proprietary audio processing technology that knows how well you hear in order to personalize your listening experience. Mimi’s technology can be integrated into consumer electronics devices, such as headphones, smartphones, TVs, in-flight entertainment systems and a range of systems and platforms.

Relayr is the Industrial Internet of Things (IIoT) powerhouse delivering the most complete solution for risk-free digital transformations. We unleash data insights from existing equipment, machines and production lines to improve our customers’ business outcomes.  We provide a unique combination of first-class IIoT technology and its delivery with powerful financial and insurance offerings — all from a single source trusted by hundreds of companies worldwide. With around 300 employees, we are a truly global family with locations in Germany, the USA, Poland, Italy, France, and the UK.

We are looking for a Senior Backend Engineer - Data + AWS to support our Product Intelligence & Machine Learning teams in Berlin! You will join a unit of data scientists, machine learning specialists, product analysts and software engineers. Organised in two rapidly growing teams, they work with Babbel’s product and engineering organisation to understand user behaviour, to support and automate AB testing and to build new product features driven by data and machine learning – think personalisation, prediction, recommendation, optimisation, etc.

At Blinkist, we don’t just accept our differences — we celebrate and support them. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. –––––––––––– Team: Business Intelligence Location: Berlin or Remotely from Germany, UK, Spain, or Finland Contract: Unlimited at 40h per week Working hours: Flexible working hours with a great policy for working from home