Work with large datasets to support data-driven decisions, develop meaningful dashboards, and collaborate across teams to optimize processes and performance.
Even great products require remarkable presentations to win on the digital shelf. CELUM solves this challenge with its unique SaaS Content Supply Chain Management Platform. CELUM’s software enables Marketing, Brand and Product teams to build engaging experiences through creating, approving, managing, and distributing content to every required channel, and to understand the content’s impact. - we make content work!
We have plenty of data. Like… a lot. The real question is: what is it trying to tell us and what should we do about it?
If you enjoy turning messy inputs into clean insights, building dashboards people actually open, and asking the “wait… does this number even make sense?” questions, you’ll feel right at home at CELUM. We’re looking for a Data Analyst who helps us spot trends early, challenge assumptions, and make better decisions across Product, Marketing, and Sales.
Here’s what you’ll take ownership of in this role:
Requirements
Here´s what we´re looking for:
Benefits
Fitness offers and monthly yoga classes
Stay fit and have fun with our extensive fitness offers and monthly yoga classes.
Home Office Stipend
Experience a flexible work environment with a fixed workspace and up to 3 days of home office (presence day´s are Tuesday and Wednesday).
Public transportation subsidy
Benefit from an annual subsidy of up to 461 EUR for public transportation (Wiener Linien, Linz AG, ÖBB, etc.) to make your commute to work environmentally friendly and smooth.
CELUM builds a robust Content Supply Chain platform designed for marketing and product teams, empowering them to efficiently create, manage, and distribute engaging product experiences across multiple channels. This platform solves the complexities of digital commerce, making it easier for teams to deliver impactful content quickly and effectively.
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Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Analyst Q&A's