Graduate in an area such as information technology, applied mathematics, engineering, or big data related field,
Experience with data modeling, integration, quality, and management - combining independent sources to create a more complete view,
Experience in working with HANA Modelling, SAP BW4HANA , SAP BPC, SAP analytics cloud and Extraction with CDS views.
Experience in working with BW Queries and creating complex finance reporting.
Knowledge of visualization tools (Sap Analytic Cloud, Spotfire, Qlik Sense, WebFOCUS etc.) and User Centric approach (UI/UX)
Knowledge of database technology (eg. SQL, SAP BW, SAP BW4HANA)
Working experience in Scrum Computing and an Agile environment (Scrum, Kanban, Devops, Continuous Integration or similar)
Team player and collaborative mindset
Stakeholder management - excellent and adaptive communication with diverse audiences & skills
Learning agility, curiosity and creativity, independence of mind and innovative "out of the box" mindset
Ability to work autonomously
Programming knowledge (SQL, Java Script) would be a plus
Good Communication Skills
Good to Have - BPC

Responsibilities

High focus on customer satisfaction and short time-to-market
Define best match between needs and existing solutions & technologies
High focus on IM collective objective and associated KPIs
Organise link with Data Viz & Big Data Analytics CoC domain counterparts in order to identify and fulfil new business needs
Ensure the run for Data Visualisation Solutions especially the IM Performance Dashboard
Manage change request or new requirements for the IM Performance Dashboard
Ensures the continual cleansing, refinement and of specified data sets for analytical purposes.You must be able to identify the data to be cleansed and the refinement axis (ie. Fields to be added / edited / removed). You are also responsible for extraction of data in line with a specific request. Responsible for expanding the MDM (Master Data Management) repository model and managing the hierarchies and relationships of reference and master data.

The position will have to drive the design of multiple applications at the same time. Global consistency has to be ensured and a transverse strategy has to be implemented in that way.

Success Metrics

Success will be measured in a variety of areas, including but not limited to

High performance of the Airbus data platform
Consistently ensure the on-time delivery and quality (first-time-right) of the projects
Bring innovative cost-effective solutions
Achieve the customer satisfaction
Creating impact along with team acting with integrity

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