Self-Service and Advanced Analytics is the delivery area within internal business analytics with the fastest growing adoption and one of the most valued by Amadeus employees. Qlik is one of the data visualization technologies supporting those...
Self-Service and Advanced Analytics is the delivery area within internal business analytics with the fastest growing adoption and one of the most valued by Amadeus employees. Qlik is one of the data visualization technologies supporting those services.The main technology supporting these services is Qlik, which encompasses 8000+ applications created by 500+ champions and consumed by 3500+ users from all corporate functions and business units. Qlik products (QlikSense and QlikNprinting) are fundamental tools supporting critical business processes and are also essential solutions in the IT landscape of digital transformation projects.This position is an internal customer facing role and it requires the ability to design, code, test, debug, document and maintain Qlik business analytics applications and Machine Learning algorithms to unlock business value.Your main responsibilitiesAutomated Solution IdentificationAdvise internal customers on business Analytics services.Based on high level business requirements, recommend potential solutions and provide with high level implementation sizing.Solution DesignCollect and document the detailed business specifications with internal customers.Formulate business problems into data problemsAnalyse functional design/detailed business requirements and propose technical designs considering the impacts on existing processes and tools.Validate the proposed solution designs with customers and solution architecture team.Solution constructionDevelop or customise end to end solutions (data integration, visualisations, security, data protection) in alignment with Amadeus guidelines.Follow up and monitor the overall construction of the solution.Conduct unit, non-regression and performance tests ensuring a level of quality in line with the Amadeus standards.Optimise the solution based on the results of the unit, integration and performance tests.Coordination and support during user acceptance tests ensuring the necessary fine-tuning to deploy the solution.Produce technical documentation necessary for the solution evolution and support teams.Produce user documentation and educational materials (including user communications) to facilitate user understanding and adoption.Communicate and translate complicated results & their implications to business stakeholdersSolution maintenance and supportPerform L3 support (customer/production).Propose enhancements to avoid failure and improve performance.Solution ArchitectureIdentify, propose and implement architecture improvements.Configure data source connections and manage asset libraries.Define best practices for machine learning deployment and create reusable templates.Participate in overall data platform architecture and strategy.Research and resolve solution architecture problems based on availability, stability & performance indicators.Data ScientistPerform complex data analysis on large data sets.Research, identify and recommend relevant data sources to be used for the desired use case.Employ relevant methods (e.g., signal processing, machine learning, statistical learning, pattern recognition and high-performance computing techniques) to transform data into actionable insights.Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.Work closely with data engineers to create and industrialise advanced analytics solutions. null
Engineering degree, M.S. or Ph.D. in a relevant technical field
5-7 years professional experience with QlikSense.
2-3 years' experience in a data scientist role highly preferred.
Good understanding of statistics, Machine Learning algorithms and data modelling.
Proven experience in customer facing activities related to Business Analytics Projects (collection and documentation of business requirements, change management, coordination of User Acceptance Tests...).
Good understanding of Travel Industry is a plus.
Excellent knowledge of QlikSense.
Excellent data modelling skills (star schemas, relational) and technologies (Vertica, BW, Snowflake are a plus).
Strong SQL Knowledge.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Experience in working with large data sets and cloud computing tools (Azure is a plus).
Agile Methodologies and tools. SAFe certification is a plus.
Good working environment in a multinational environment
Life and health insurance
30 days vacation
Work-life balance programs