Data Intelligence Engineer
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HBenchmark is the leading platform in Italy for data intelligence in the hospitality sector. We are looking for a Data & Analytics Engineer to strengthen the project team HBI - Hospitality Business Intelligence.
HBI represents the new frontier of consulting in the tourism sector: an advanced platform that supports hoteliers, tour operators and destinations in defining data-driven strategies to optimise performance and consolidate their market presence.
The individual will join a dynamic and innovative team, contributing to the development of advanced, scalable, and high strategic value analytics solutions.
Main responsibilities- Design and develop dashboard, report and advanced features using Microsoft Power BI.
- To realise Efficient and scalable data pipelines, ensuring quality, reliability, and performance.
- Integrate and normalise data from external sources (API, database, third-party systems).
- Build Automated reporting templates with strong attention to data quality, data governance, and data visualisation.
- Collaborate on the development of Analytical and predictive models, applying techniques of data science to support business decisions.
- Use tools AI Copilot to improve data interaction, exploration, and interpretation.
- To work autonomously on complex projects, collaborating with product, consulting, and development teams.
- Experience in development data pipeline, ETL and data integration processes.
- Excellent knowledge of tools Business Intelligence and data visualisation (Power BI, Tableau, Looker or similar).
- Solid experience with SQL and NoSQL databases.
- Good knowledge of the language Python for data analysis, automation, and the development of analytical models.
- Skills in Data Science, statistics and predictive analysis (forecasting, clustering, performance models, etc.).
- Ability to work autonomously, managing tasks and projects end-to-end.
- Previous experience in development is welcome API and integrations with external services.
- Attitude towards Problem-solving and a strong results-oriented approach.
- Flexible working hours and pay attention to work-life balance.
- Company PC and the latest generation of work tools.
- Salary commensurate with experience and skills.
- Supplementary healthcare.
- A dynamic, collaborative, and innovation-oriented work environment with real opportunities for professional growth.