Job at a glance
- Stack
- Python
- Location
- Lisbon
- Work setup
- On-site
- Contract
- Full-time
- Posted
- Over a month ago
Description
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