At FOSS, we are on an ambitious digital transformation journey to become more data-driven and building greater self-service capabilities across our business.
To support this, we are building our next-generation data platform on Microsoft Fabric, integrating data from core systems such as SAP and Salesforce. We are now looking for a talented Business Data Specialist to join our Business Data Platform team and help us turn data into actionable insights.
Your impact and responsibilities
As a Business Data Specialist, you will work across the full data lifecycle – from extracting and transforming data to designing models and creating compelling Power BI reports. You will play a key role in shaping our new data warehouse and fostering an analytics culture across FOSS.
You will be part of a dedicated team of five data professionals who collaborate closely with stakeholders throughout the organization. Together, we ensure trust, transparency, and availability in the business data used at FOSS.
Your primary responsibilities will include:
- Design, develop, and maintain data pipelines, models, and governed BI solutions
- Build and optimize high-quality Power BI reports and semantic models
- Collaborate with business stakeholders to translate needs into data solutions
- Support and train users to strengthen FOSS’s analytics culture
- Contribute to ongoing data platform projects from source extraction to business presentation
- Act as a trusted business partner and advisor to stakeholders
What you’ll bring to the team
To succeed in this role, you are a curious and collaborative data professional with a proactive mindset. You thrive in complex technical environments and excel at translating business needs into practical, high-quality data solutions. You are equally comfortable working with stakeholders and diving deep into technical problem-solving.
We envision that you have:
- A relevant degree in data science, computer science, engineering, economics, or a related field or proven experience in a technical data role, preferably within analytics, BI, or data engineering
- A problem-solving attitude, with the ability to navigate complex technical and practical challenges
- Strong analytical skills with the ability to interpret complex data and translate it into clear insights and recommendations
- Experience with Python, SQL, and preferably PySpark – or willingness to learn quickly
- Solid skills with Power BI and data modeling
- Familiarity with Microsoft tools such as Fabric, Azure DevOps, Azure Data Factory, and Git in Azure DevOps repos
- Experience with SAP or Salesforce data is an advantage
- An agile mindset and experience working in Scrum teams
Turn your data passion into real-world impact
If you're ready to make a tangible impact and advance your career, please submit your application using the link below. We conduct interviews on an ongoing basis and encourage you to apply as soon as possible. For more information about the position, please contact Emil Søgaard Lillevang, Head of Business Data Platform at emsl@foss.dk
FOSS is committed to maintaining an inclusive culture and a diverse workforce. You can help us sustain an unbiased recruitment process by not including photo or age in your application.
FOSS
Today, more than 8 billion people around the world are dependent on nutritional food. Tons of food being produced in a million different ways and under varying conditions, creating challenges all the way from field to fork. One of them, obviously, being the effects it has on climate change.
FOSS helps the world’s 100 biggest food companies and more than 40,000 others around the world navigate exactly that with intelligent, data-driven and innovative analytical solutions. We are making sustainability a better business and we’re doing so as global market leader in our field – improving food quality, minimizing food waste, ensuring food safety, and securing fair payment.
Join a pioneering and innovative company in the food and agriculture industry. A company on a mission, with offices all around the world and 1,700 talented colleagues from more than 32 different countries.
Ansættelsestype:
Permanent
Hjemmearbejde:
Not disclosed
Ugentlig arbejdstid:
Full-time