Data Management support (south Europe)

Empresa: Michael Page
Provincia: Barcelona
Población:  Barcelona
Perfil buscado (Hombre/Mujer)

• Consolidate weekly, monthly and quarterly data on sales and team performance.
• Analyze collected data to identify trends, opportunities and issues in the sales process.
• Share results and analysis through advanced data management tools, ensuring clear and timely communication with the sales team and other relevant departments.
• Develop and implement tools and processes to support sales activities, including automated reports, dashboards and performance tracking systems.
• Create detailed data sheets for products and services offered, providing the sales team with the necessary information for an effective presentation to customers.
• Manage the company´s organic catalogue on e-commerce platforms such as Amazon, ensuring that products are correctly listed, described and positioned to maximize sales opportunities.

• Multinational hardware company|Data Management support (south Europe)
• Proven experience in sales data management and analysis, preferably in a sales support environment.
• Advanced skills in using Microsoft Excel for data manipulation and analysis.
• Proficient knowledge of Microsoft Access for database management and complex query creation.
• Demonstrated ability to use data visualization tools such as Power BI to create interactive reports and intuitive dashboards.
• Advanced skills in using Microsoft Excel and Power BI (must have), Microsoft Access and Python (nice to have).
• Specific tools and process he/she will use: Excel, Power Bi, Ad Hoc Access program, Python for data analysis, Ipos, Saleforce, Bid Tool, Price Is right, Vendor Central, Extra Partner PIM. In future: AI tools.
• High level of accuracy.

Multinational hardware company.

• Career progession.
• He/she will report to Head of Sales Support and Sales Development – South Europe (based in Arese (MI), Italy).
Tecnologías: Power BI, Access, Excel,
Tipo de Contrato: 
Salario: 36000 € – 45000 € Bruto/año
Experiencia: 3 años
Funciones: Big Data
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