Inetum is a global leader in IT services, dedicated to providing innovative solutions to our clients. We are committed to fostering a dynamic, inclusive workplace that values diversity, where creativity and collaboration thrive. We operate in 19 countries with more than 28,000 employees worldwide.

If you are looking for a dynamic, innovative, and technology-driven company, Inetum is the place for you! Come be Inetum!

The team is responsible for providing data, insights, and analysis.  The team aims to build a solid database from various sources and develop analysis, reports and dashboards to provide valuable.

Main Tasks:

• Design and build interactive Tableau dashboards and reports that deliver meaningful, actionable insights.
• Ensure dashboards are intuitive, visually engaging, and aligned with business needs and expectations.
• Partner closely with data engineers and analysts to guarantee data accuracy, consistency, and availability.
• Work with large datasets, perform data cleaning, and optimize queries to enhance performance.
• Collaborate with stakeholders to understand their requirements and translate them into effective data solutions.
• Lead training sessions and workshops to help users get the most out of Tableau dashboards.
• Identify, troubleshoot, and resolve technical issues related to dashboards and reporting.
• Continuously monitor existing dashboards and make improvements to boost performance and usability.
• Maintain comprehensive documentation for all dashboards, reports, and data sources.
• Stay current with the latest Tableau features, updates, and best practices.

• Academic background in Computer Science, Information Technology, Data Science, or a related field.                                                 
• Professional experience as a Tableau Developer (at least 2 years).                                                       
• Proficiency in Tableau Desktop and Tableau Server.
• Strong SQL skills and experience with databases 
• Professional experience with Python (mainly Pandas)                               
• Professional experience with SQL and ETL processes
• Optimization of Data processes (efficient queries and memory management practices)
• Professional experience with Data Analysis or Data Engineering                 
• CI / CD (Jenkins)
• Good lev of English (B2+)