Company
Role
Creating Strawberry is the biggest step taken since the chain began challenging the Nordic hotel industry under the name Nordic Choice Hotels, over 25 years ago. As it embarks on this bold journey, Strawberry needs your ideas to create more experiences, both within hotels and beyond. As it progresses, it will do its best to live up to the philosophy of founder Petter A. Stordalen – never settle, always push for change, and keep evolving.
Strawberry is a natural evolution of a burning vision to make the world a better place – more meaningful, more sustainable, and more fun. With over 225 hotels, 120 restaurants, 20 spas, and more, it creates thousands of experiences every day.
As an information architect, you’ll be part of a project team and work in close collaboration with the Head of the Decision Support unit, all made up of brilliant people who have varied skill sets and work in a supportive culture – making this a fantastic development opportunity to learn new skills and further your career.
You’ll be key in implementing a new data warehouse and reporting system, and be a major contributor to Strawberry’s success in Data Strategy, with the primary objective of ensuring that processes and infrastructure align, as well as driving a data thinking culture.
Task includes, but are not limited to:
”Be key to Strawberry’s success in Data Strategy”
To thrive in this role, we believe you have experience in shaping data landscapes, ensuring data integrity, and driving actionable insights for business growth. If you possess expertise in data modeling, data warehousing, conceptual modeling, and data governance, along with a keen business acumen, this position could be tailor-made for you.
In short, you should have:
Not least, you should be a go-getter, who likes taking action to create results. You’d do this by being a networker, connecting with the right stakeholders, and autonomously paving new paths forward.
Perhaps you’ve already made significant data migrations and know what it takes to create something new, centralized and more efficient. What’s important is not what company you’ve been at, but rather what ideas you may have for effectively driving data decisions in large organisations going forward.