Senior Data Analyst, Debrecen, Hungary (hybrid).

This role leads the acquisition, analysis, and visualization of complex datasets to inform pricing strategies, product performance, customer behavior, and market opportunities. You will develop, maintain, and enhance executive-level reporting for supply chain operations, backlog of sales orders, purchase orders, supplier lead times, inventory management, and key business metrics. You will investigate reporting discrepancies with global business users to identify root causes and improve data accuracy, drive continuous improvement of self-service analytics tools, and design scalable data models and datasets that provide business users with reliable, easy-to-use insights. You will evaluate and implement AI-powered capabilities that improve data quality, searchability, and the overall analytics user experience. You will extract, transform, and analyze large datasets from transactional databases to identify trends and deliver actionable business recommendations. You will partner with business teams to identify and resolve data quality issues through process improvements, documentation, and user training. You will define analytical requirements for cross-functional initiatives involving data engineering, product teams, and global stakeholders. You will mentor junior analysts by providing guidance on analytical methodologies, reporting standards, and best practices. You will collaborate with product management, sales, engineering, operations, and other business functions to ensure analytics align with strategic objectives. You will

Senior Data Analyst, Debrecen, Hungary (hybrid).

This role leads the acquisition, analysis, and visualization of complex datasets to inform pricing strategies, product performance, customer behavior, and market opportunities. You will develop, maintain, and enhance executive-level reporting for supply chain operations, backlog of sales orders, purchase orders, supplier lead times, inventory management, and key business metrics. You will investigate reporting discrepancies with global business users to identify root causes and improve data accuracy, drive continuous improvement of self-service analytics tools, and design scalable data models and datasets that provide business users with reliable, easy-to-use insights. You will evaluate and implement AI-powered capabilities that improve data quality, searchability, and the overall analytics user experience. You will extract, transform, and analyze large datasets from transactional databases to identify trends and deliver actionable business recommendations. You will partner with business teams to identify and resolve data quality issues through process improvements, documentation, and user training. You will define analytical requirements for cross-functional initiatives involving data engineering, product teams, and global stakeholders. You will mentor junior analysts by providing guidance on analytical methodologies, reporting standards, and best practices. You will collaborate with product management, sales, engineering, operations, and other business functions to ensure analytics align with strategic objectives. You will