Supply Chain Data Analyst

.How do you feel about working for Airbus?Randstad has partnered with Airbus on the conception of a Global Businesses Services in Lisbon and was challenged to find the best talents to structure a high level team.Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide.Founded in 2021, the Airbus Global Business Services (AGBS) unit will be contributing to Airbus' global success and play a vital role in Airbus' transformation journey in standardisation, harmonisation, digitalisation and automation of end-to-end processes (e.G.Procure to Pay) of all overhead functions. Our target is that siloed ways of working / processes will be a relic of the past within the AGBS. To drive such culture change we are looking for candidates with pioneering spirit that make data-driven decisions and take responsibility for the best outcome of their internal customers. All while embracing a spirit of problem-solving and living the Airbus values: Customer focus, integrity, respect, creativity, reliability and teamwork.Will you join us? Apply now!responsabilidades chave We are looking for a data analyst to support Procurement Operations: you will help Procurement Operations reinforce Performance Management activities and contribute to the transition towards predictive and prescriptive analytics to get ready for the future Airbus challenges.You will:Capture and analyze data analytics use cases from the business (performance management team, operational teams, project leaders) and perform preliminary/opportunity studies and business cases; Develop, maintain and update key performance indicators according to the specification of the Procurement Operations performance management team; Develop proof of concepts/prototypes with a strong focus on predictive and prescriptive analytics to support existing initiatives e.G. Supply Chain Digital Twin, Artificial Intelligence; Eliminate non-added value activities by proactively automating recurrent analytics and performance management tasks; Support the industrialisation of KPIs and proof of concepts with the central Procurement Advanced Analytics team (PYDA): user stories preparation, development follow-up, testing, deployment to the Procurement Operations community