Senior Data Analyst

We are seeking a
Senior Data Analyst
to join our team in Aarhus. This position is responsible for connecting our technical data platform, future integration platform, and business requirements, with the goal of transforming data into useful and sustainable data products and supporting colleagues across the company in working effectively with data. At
Stibo Systems
, data is central to operations, decision-making, and value creation throughout the organization. Our Data & Digitalization (D&D) team ensures that internal data is reliable, accessible, and relevant for all functions.

The Role
As Senior Data Analyst, you'll act as the link between our business stakeholders and our internal data engineering & integration team. This role offers the opportunity to be involved early in this process and contribute to ongoing organizational change as we build the foundation for the next generation of business decisions and reporting at Stibo Systems.

You'll be diving into the business' use cases, help them identify the right data products, investigate data structures, understand how our backend is built, and help ensure that business requirements are translated into sustainable, governed, and high-quality data products.

You'll also play a key role in shaping our data enablement strategy — helping define how different user groups work with different data products, and help making our governance model come to live.

What you'll do:

• Act as the key liaison between business stakeholders and the D&D technical team following the data products throughout the entire lifecycle.
• Translate business needs into structured data requirements, semantic models and other relevant data products; advising them and translating it into clear technical requirements.
• Work with our
  Microsoft Fabric-based data platform
  and
  future Microsoft Azure Integration Services-based data integration platform,
  contributing to its evolution and ensuring alignment with business goals.
• Contribute to building and refining data models based on
  Kimball's principles
  and best practice data modeling techniques.
• Take great part in designing the team's Operating Model for delivering and managing our platforms and data products.
• Sustain the business enabling them to work responsibly and actively with data, and take ownership of our Enablement Strategy for sustaining our different User Groups.
• Work actively on anchoring our governance framework and sustain the business in upholding their responsibilities by working actively on maturing the data quality of our data.

The team
The Data & Digitalization team acts as a strategic partner to business units by managing the design, development, and maintenance of sustainable and scalable architecture and operating model for data products, aligned with organizational leadership direction.

You'll be part of our internal Data & Digitalization team which today encompasses 12 team members mainly based at our headquarters in Aarhus. While your core team sits together in Aarhus, you'll collaborate with stakeholders across Stibo's global organization — from Finance and Product to Commercial teams in Europe, the Americas, and APJ — giving your work real global reach and impact.

What you bring
You bring a strong background in data analytics, ideally with exposure to data engineering or BI development — and you combine that with excellent communication skills, a collaborative mindset, and the ability to engage confidently with both technical and non-technical stakeholders across the team and the business.

You excel in taking initiative instead of waiting for direction, you drive change and see things to the end, you feel accountable for the team's results. You act purposefully and take ownership. You are intuitive in seeing things through, and you excel in reframing a challenge into an opportunity or a system-level improvement.

This role is ideal for someone with a
background in data engineering
or strong technical BI experience, who enjoys engaging with business and driving alignment.

Furthermore, you have:

• 5+ years of experience
  from a similar role in a
  larger or enterprise environment
  .
• A strong background in
  data analytics
  with exposure to
  data engineering
  or
  BI development
  .
• Hands-on experience with
  SQL
  ,
  semantic modeling
  , and an understanding of
  backend BI architecture
  .
• Experience with
  Microsoft Fabric
  or similar modern data platforms.
• Knowledge of the
  Kimball school of data modeling
  and best practices for building sustainable data models.

We Offer
At Stibo System, we offer more than just a job. We put people first and inspire you to become the best version of yourself. 

• We care about our colleague's work-life balance, and we offer flexibility through a hybrid work model. We offer "MindFUL" and MindFuel" days, which are global days off, learning days, volunteer days, and much more
• International: A growing global company, with worldwide career opportunities, multicultural teams, and access to learning platforms like Udemy
• Well-being: A caring and inspiring environment, promoting a happy and healthy lifestyle through a wide range of facilities and activities

Join Stibo Systems, where we embrace 'All Kinds of Data Minds.'
  

Stibo Systems is a global company with Danish heritage. We empower businesses to become digital leaders through our AI-powered, SaaS-based multidomain master data management solutions. By connecting data across products, customers, suppliers and more, we drive growth, efficiency, and sustainability for our customers.    

At Stibo Systems, our people are key to our success and you will find an environment that values creativity, curiosity, and analytical thinking. We're committed to making you feel trusted, invested in, and connected, fostering a workplace where every data mind thrives.    

Interested?
We invite candidates for interviews continuously, so please apply as soon as possible. If you have any questions, please reach out to Mads Johansen, Lead, Talent Acquisition

We value diverse perspectives and skills. Even if you don't meet every qualification listed in the ad, we encourage you to apply - what matters is your potential and unique skills.  

We look forward to hearing from you