Analyst, Data Analysis
Pubblicato il 16-09-2026 - Iveco Group in Roma
Questa posizione è in Iveco Group
Il processo di selezione sarà interamente gestito Iveco Group.
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Responsibilities
- Research, analysis and collection of reference data for Italian and foreign companies, in particular personal data and International Issuer Codes (LEI, S&P;, Moody's, Fitch, Local code).
- Identification of economic activity and assignment of international codes (ATECO, NACE, SIC, NAICS, GICS) based on official classifications by competent authorities.
- Monitoring and management of the ordinary/extraordinary company operations (name change, re-domiciliation, M&A;, etc.).
- Monitoring and management of the upcoming companies on the Italian and international market.
- Manages the terms of the Board of Directors/ordinary/extraordinary/special shareholders' meetings.
- Updates Governance and shareholding of some client portfolios and Italian listed companies.
- Analysis of the group structure, resulting in the identification and management of direct parents, ultimate parents, subsidiaries, public control,
and public administration - elements fundamental to the majority of ICE products and services.
- Basic live stock creation and mapping. creation and management of skeletal/partial ISINs in Database, coming from any internal or external supplier and linking them to the correct issuer.
- Manages daily Stock Exchange Notices for topics of interest in the sector.
- Monitors the Italian Official Gazette, controls the companies present in the Database and manages the variations.
- Interacts with multinational colleagues (London, Dublin, New York) for data control and help desk.
- Conduct a systematic analysis of companies subject to international sanctions, with the goal of accurately identifying and registering them within internal systems. This activity supports data integrity.
- Design and implement automated solutions to optimize recurring processes in corporate data management and analysis, reducing operational time and enhancing efficiency and data qu