Technology Data Analyst

Netherlands

Technology Data Analyst

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.

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