Procurement Data Analyst

Há 1 mês


Lisboa, Lisboa, Portugal Randstad Portugal Tempo inteiro
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.

Will you join us? Apply now

responsabilidades chave

your role:
Capture and analyze data analytics needs from the business;
Data preparation, data modeling, data science, reporting and dashboarding;
Support the definition, enhancement and implementation of a procurement data model;
Develop proof of concepts/prototypes with a strong focus on predictive and prescriptive analytics to support existing and new initiatives e.g. Supply Chain Digital Twin, Artificial Intelligence;
Develop, test and implement the most suitable analytical models to identify meaningful patterns or trends from complex data sets and types;
Analyze and improve regularly the accuracy of models against business needs;
Communicate findings through effective and easy-to-understand data visualizations;
Support the coaching of the teams in the data-driven mind-set;
Actively contribute and share best practices, findings, and techniques with the wider data community;
Eliminate non-added value activities by proactively automating recurrent analytics and performance management tasks:

competências

If you have:
Education to degree level (or equivalent) in Data Analytics, IT or Business Administration with specialization in statistics, business intelligence, advanced data analytics / Big data business project deployment and/ or Procurement and/or Information technology or related discipline;
Interested in data, curious about how to help others understanding what you do;
Data analysis skills (such as Python, Palantir Foundry (Skywise), Jupyter, SQL/SQL Server, Qliksense, SAP Lumira Designer);Mathematics, Statistics, Economics knowledge;
Ability to analyze large datasets;
Team player with entrepreneurial mindset;
Good communication and presentation skills at all levels;
Strong ability to interact and Influence;
Basic experience in project management;
Language Skills: Negotiation level of English, German would be a plus;
open to some travel (mainly Germany) as required

principais benefíciosWhat you ́ll get:

Diverse career opportunities within Airbus European core countries or in other regions around the world;
A hybrid working model, allowing you to combine onsite and offsite work;
A motivated and fun crew to grow and build and shape the GBS together;
An intense and exciting onboarding experience;
Airbus offers a wide variety of competitive benefits and development opportunities. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now.
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth;
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.



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