Technology Data Analyst at Lamb Weston EMEA

Kruiningen, Zeeland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Data Visualizations, SAP, Business Intelligence, Data Warehousing, ETL, Power BI, Dimensional Modeling, Data Governance, Data Quality, Data Security, Metadata Management, Agile/Scrum, AWS, Azure, Git

Industry

Food and Beverage Manufacturing

Description

We are seeking a Data Analyst with a strong background in hybrid environments including SAP, to join our Data & Analytics team. The candidate will be responsible for the data models and visualizations to support our data analytics and business intelligence needs. Key Responsibilities: Provide leadership by example helping stakeholders analyze data to help solve business problems. Collaborate with data engineers, business analysts, and stakeholders to analyze issues in the current data models. Make proposals for data requirements and translate them into effective data models and visualizations, particularly those involving SAP and other information data sources. Design, maintain, and implement scalable and efficient conceptual, logical, and physical data models to support data warehousing and analytics needs, ensuring alignment with best practices. Develop and maintain standard visualizations which help the business succeed. Work closely with ETL developers to ensure proper data flows, particularly from SAP systems. Create and maintain documentation for data models, metadata, and data lineage, including SAP-specific data structures. Stay current with industry trends and best practices in data modeling, visualizations, and SAP. Qualifications: Bachelor’s degree in computer science, Information Systems, Data Science, or a related field or equivalent experience. Experience in dimensional modeling. Strong knowledge of data warehousing concepts. Experience with SAP data structures, particularly in SAP BW, SAP HANA and SAP ECC environments. Committed to professional growth and to developing a comprehensive understanding of global applications and operational practices. Familiarity with data governance, data quality, and data security best practices. Strong analytical, visualization, problem-solving, and critical-thinking skills. Proficient in leading data discovery sessions with business subject matter experts. Knowledgeable in metadata management. Skilled in reverse engineering data models. Advanced proficiency in Microsoft Power BI for creating interactive dashboards, reports, and analytical insights. 3–5 years of experience in data analysis, data modeling, or data warehousing. Preferred Skills: Experience with business process and translate this into BI solutions Experience with other cloud platforms such as AWS or Azure Experience with Git and CI/CD pipelines is preferred. Familiarity with modern BI tools Experience in Agile/Scrum méthodologies. Have ambition. For yourself and for our company. Take initiative. Innovate. But above all, collaborate. With international colleagues. With our partners in the chain - from grower to customer. Use your passion and willpower to improve and renew us. Innovation is in our DNA. This is intrinsically linked to sustainability. We care about the world around us. Every aspect of our product reflects this. We are looking for team players. In an environment with co-workers who are passionate about their work. People who want and are given responsibility to collaborate on sustainable growth. Allowing us to become an even better company. A company that is good for the environment where you live and work. A company that is good for society, and good for yourself. We believe in growth. The growth of our company – and our employees. As we say at Lamb Weston: If we see a potato, we see opportunities. What opportunities do you see?

Responsibilities

The analyst will be responsible for developing data models and visualizations to support business intelligence needs, requiring collaboration with engineers and stakeholders to solve business problems using data analysis. Key tasks include designing scalable data models, maintaining standard visualizations, and ensuring proper data flows, especially from SAP systems.