Business Analyst Junior/ Data Strategy Analyst
Pubblicato il 22-09-2026 - Crif in San Vito
Business Analyst Junior/ Data Strategy Analyst
Esperienza, qualifiche e soft skill: possiede tutti i requisiti per avere successo in questa possibilità? Lo scopra qui sotto.
CRIF, a prestigious and innovative international group specializing in informational solutions, decision models, outsourcing, software, and consulting services to support banks, financial companies, insurance companies, utilities, and telecommunications companies, is seeking a Business Analyst Junior/ Data Strategy Analyst.
The person will join the Data Strategy Department and will contribute to strategic initiatives that strengthen the value, governance, accessibility, and effective use of data across the organisation. Working in an international and cross-functional environment, the role will support the evolution of the company's data asset and data-driven services catalogue, the development of the data platform and its governance capabilities, and the oversight of analytical solutions embedded in products and services.
The ideal candidate combines analytical thinking, business awareness,
data management skills, and the ability to communicate effectively with technical and business stakeholders.
Main responsibilities:
- Data assets and data-driven services catalogue development: support the collection of information related to data assets and data-driven services across the different geographies where CRIF operates, ensuring consistency, completeness, and alignment with the defined catalogue framework.
- Catalogue maintenance and periodic update: contribute to the ongoing maintenance of the catalogue by coordinating inputs from data owners, service managers, and local stakeholders, supporting periodic updates and monitoring the quality and accuracy of the information collected.
- Data platform project support: support the data platform project with particular attention to the definition, organization, and management of data product metadata, contributing to the improvement of metadata qualit