Descrição

Our client pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defense, and connected services. In commercial aircraft, our client offers modern and fuel-efficient airliners and associated services. They are also a European leader in defense and security and one of the world's leading space businesses. In helicopters, they provide the most efficient civil and military rotorcraft solutions and services worldwide.

responsabilidades chave

In your role, you will be responsible to implement and develop data solutions to respond to the Sustainability and Communications business needs, in order to support the ongoing projects and activities.
● Collaborate with the business to identify data needs, gaps and opportunities;
● Capture, interpret and analyse data using advanced techniques that impact the decision making process of the function;
● Develop, maintain and update key performance indicators (KPI) according to the specification of the business;
● Develop data solutions using well known market tools (i.e. Qlik Sense, Google Looker Studio, Skywise Palantir, Jupyter Notebooks, GCP, AWS, );
● Acquire data from different data points (relational databases, nosql databases, csv, json, xml, APIs, Skywise or any additional secondary data source), enrich and rearrange data maintaining datasets and collections in order to support the analytical needs of the business projects;
● Identify, analyse, and interpret trends or patterns in complex data sets;
● Support the industrialisation and standardisation of the solutions in collaboration with the performance managers;
● Work closely with the data officer, data architects, and other data analysts to ensure the on-time, on-quality, consistent delivery of the results;
● Work closely with the Digital Solutions managers to ensure the assessment and selection of tracking/analytics solutions to support Business needs;
● Work closely with AI initiative in order to develop AI agents and solutions using Google Cloud Platform, Amazon AWS or similar cloud environments integrating data from different sources to provide AI solutions to the business.

competências

• Requirements - our ideal candidate will have:
• Graduate degree with hands-on experience in the fields of advanced data analytics, artificial intelligence, software engineering or machine learning engineering;
• Minimum of 3 years of experience in data analytics / big data / business intelligence solutions and project management;

• Technical & Analytical Skills:
• Significant experience in SQL or Python,
• Good knowledge of Dashboarding tools (preferably Qlik Sense or Google Data Studio/Looker)
• Solid knowledge on how to work with complex and/or large datasets, on different data formats, using data wrangling libraries or processes to prepare raw data

• Knowledge of data analytics/big data solutions;
• Prior experiences with Google Apps Script, Github are a plus
• Knowledge working with cloud environments (GCP is a plus)
• Knowledge with prompt engineering, AI solutions is a plus
• Ability to translate business problems into meaningful insights, listening skills
• Agile project management skills
• Fluent in English (French is a plus)
• Ability to work in a multicultural environment
• Able to travel domestically and internationally when needed

principais benefícios

The chance to work in a multicultural environment.
The opportunity to grow your skills and capabilities thanks to our client's learning offer (digital solutions, classroom sessions, certified training....) and career opportunities across the globe.
A hybrid working model, allowing you to combine onsite and offsite work.
A modern office at Parque das Nacoes, well connected to public transportation.
An intense and exciting onboarding experience.
Work in a balanced environment: Beyond the many benefits offered to its employees, joining this team is also the guarantee of a respectable work-life balance.

Our client supports you to work, connect and collaborate more easily and flexibly. Wherever possible, they foster flexible working arrangements to stimulate innovative thinking.