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Warehouse Operations Data Analyst

Pubblicato il 13-08-2026 - Ingenico in Milano

Ingenico is the global leader in payments acceptance solutions. As the trusted technology partner for merchants, banks, acquirers, ISVs, payment aggregators and fintech customers our world-class terminals, solutions and services enable the global ecosystem of payments acceptance. With 40 years of experience, innovation is integral to Ingenico’s approach and culture, inspiring our large and diverse community of experts who anticipate and help shape the evolution of commerce worldwide. At Ingenico, trust and sustainability are at the heart of everything we do.
This role combines application development, database management, and data analytics skills to ensure reliable data, efficient tools, and meaningful KPIs that support and monitor operational performance across the organization.
Main Responsibilities
Applications & Systems Development
- Manage, maintain, and develop internal applications used by the ITA Hub.
- Implement new functionalities and continuously improve existing tools.
- Develop and maintain MySQL databases supporting business applications through PHP development.




- Ensure the reliability and efficiency of internal systems and tools.
- Provide user support and troubleshoot operational issues when required.

Data Analysis, Reporting & KPI Management
- Collect, process, and analyze data from company systems and operational processes.
- Develop KPIs to monitor logistics and warehouse performance, including cost recharges, carrier performance, and internal process efficiency.
- Develop and maintain dashboards and reports using Power BI and Excel.
- Prepare regular reports, analyses, and presentations for management.
- Ensure the quality, consistency, accuracy, and reliability of data used in business decision-making.
- Collaborate with cross-functional teams to identify opportunities for process improvement and implement innovative solutions.

Requirements
Education & Experience
- Bachelor's or Master's Degree in Management Engineering, Computer Science, Da

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