Recruteur : AMADEUS
- Commercial, Ventes
Niveau d'étude :
Expérience professionnelle :
- Type de contrat : Alternance
- Publié : 23/09/2018
- Référence : 5427
Description du poste
Start date : between july and September 2018
Duration : 1 year
Amadeus Hotel Platform provides real-time shopping/booking services on 900,000+ hotels (over 350 hotel chains and aggregators) for travel agencies and corporate bookers located in 90,000+ points of sale around the world.
Besides this so-called distribution activity, Amadeus Hotel Platform is also providing a complete portfolio of solutions for hotel chains, enabling centralized hotel management services to the hoteliers. This includes a Central Reservation System, a Property Management System, a Call Center application, an Internet Booking Engine and a Business Intelligence module.
Core component of Amadeus Hotel Platform, the Central Reservation System, is the central point for distribution of hotel descriptive content, rooms and services to all desired channels (e.g. Amadeus GDS, Booking.com, Sabre, Travelport, Google, Expedia, etc.).
Meeting and exceeding customers’ expectations on such critical systems involves the capability to manage knowledge (design, specification, troubleshooting) with the best possible productivity and efficiency. For that several tools are currently used by Support, Production Maintenance and Development teams.
Production Maintenance team is in charge of following up incidents raised by customers and to fix defects whenever needed, in close relationship with product and account management teams.
The main goal of this apprenticeship period will be to:
understand existing Production Maintenance knowledge management processes, study them and improve them to better fit users needs and improve their productivity.
meeting end users (developers, business analysts, implementation engineers, support teams), discussing needs, defining the corresponding user stories (using JIRA), prioritizing them implementing them, documenting them (using Confluence)
getting feedback from end users.
The current technical context is mainly based on Word, wikidocs, Confluence and JIRA. In parallel more modern ways of working will also be studied to validate, for example, if Knowledge Centered Support (KCS) and/or chatbots coupled with machine learning could pave the way to even better ways of managing knowledge.
Profil de la société
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Formulaire de candidature : www.talents-handicap.com