Ready to lead, disrupt and reinvent the sleep industry? We are Emma – The Sleep Company. Founded in 2015, we have grown into the world’s largest direct-to-consumer (D2C) sleep brand, with a presence in over 20
Job Description:Essential Job Functions:•Execute business process transactions, closely following established procedures and guidelines.•Collaborate with senior analysts, managers, and other staff.•Support process improvement initiatives and data analysis.•Participate in identifying and resolving process bottlenecks.•Ensure compliance with quality and procedural standards.•Contribute
Role Highlights: Title: AIT Engineering Team Lead Department: Global Manufacturing Organization Reports to: Head of MAITE, Optics Location: Lisbon, Portugal Type of Contract: Permanent Working model: On-site Employment is subject to applicable security screening (incl. SUPO,
YOUR ROLE • Develop and maintain a thorough understanding of the customer’s deployed solutions, network architecture, customizations, software releases, and operational procedures. • Act as the primary technical point of contact for customer technical teams regarding operational
Job Type:Permanent Build a brilliant future with Hiscox The team The Group Internal Audit team provides independent and objective assurance and advice to the Group Audit Committee, and to the Boards of Directors of the companies
Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Short Description Job Location: Lisbon, Madrid or
The ASR Group® family of companies make up the world’s largest refiner and marketer of cane sugar. The companies produce a full line of grocery, industrial, foodservice and specialty sweetener products. Across North America, ASR Group®
Responsible for performing data research and analysis to support business operations including: •Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets •Blending historical data from available external and internal data