Tableau Developer

Company Description

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!

Job Description

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.

Qualifications

- 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 level of English (B2+).

Additional Information