Data & Analytics Specialist
Data & Analytics Specialist
Royal Friesland Campina is looking for a proactive and analytical Data Modeler to join our team. As the data modeler, you are a key contributor to building data modelling capability within the company. Internally you will collaborate closely with the team from Data Analytics and Integration cluster. Towards our Data Modeling community, you will act as a subject matter expert, to drive knowledge exchange and develop best practices.
The ideal candidate will have a strong background in both business and technology, with the ability to bridge the gap between business objectives and technical capabilities.
Was wir erwarten
- Bachelor's or Master's degree in computer science or relevant.
- Strong programming skills in languages such as Python and SQL.
- Experience with SAP and BW is a plus.
- Experience in Erwin Data Modelling is considered a plus.
- Deep understanding in conceptual and logical & physical data modelling.
- Good understanding of CI/CD principles and implementation, preferably using Azure DevOps.
- Experience with Databricks & Powerbi is preferred.
- Experience with data engineering processes and tools.
- Excellent communication and presentation skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Was wir bieten
- Unique company culture of Dutch heritage and international presence.
- We offer great work life balance, and competitive salary & benefits package.
- A team of talented and passionate innovation enthusiasts as sparring partners.
- Cross disciplinary career growth.
- Learning opportunities (on job training, conferences, training certifications when they add value to your professional growth).
Stellenbeschreibung
- You will work closely with business stakeholders from various departments and external.
- Partners to understand their requirements and translate them into technical specifications.
- You will collaborate with the Regional and Global IT Data & Analytics team to support and leverage the Azure Data Platform they are building, with a value creation mindset for the operating company.
- Develop and maintain enterprise data models that accurately represent business processes and align with organizational goals.
- Design dimensional models for data warehousing and business intelligence applications, ensuring scalability, performance, and usability.
- Collaborate with business stakeholders, data architects, and developers to understand data requirements and translate them into effective data models.
- Develop and maintain enterprise data models that accurately represent business processes and align with organizational goals.
- Design dimensional models for data warehousing and business intelligence applications, ensuring scalability, performance, and usability.
- Collaborate with business stakeholders, data architects, and developers to understand data requirements and translate them into effective data models.
- Development of SQL Based ETL pipelines to load the data models efficiently.
- Development of BI Dashboards and data preparation for advanced analytics.
- Create clear and compelling visualizations to communicate findings and insights to stakeholders.
- Prepare reports, presentations, and dashboards to present results and recommendations to non-technical audiences.
Details zum Team
Alle Kollegen auf LinkedIn anzeigenFor thousands of people every day, we are more than just a dairy company. To our farmers, our employees, the communities we serve, the businesses we work with and the people to whom we bring happiness, FrieslandCampina means something more. For them it's not just about what we do, but who we are.
We value talented people from any background who want to contribute to something bigger than themselves. We encourage all of our employees to make decisions that benefit our entire company. At FrieslandCampina we own our own career and act accordingly. We trust you to make a difference in your job and influence the bigger picture. Working at FrieslandCampina means you are contributing to a better world.