Finance Data & Funds Analyst — RV & Service Funds

Adecco Italia; Latina; In loco; EUR 35.000 - 42.000; Tempo pieno

Vantaggi offerti da questo lavoro

Permanent employment contract

Descrizione del lavoro

Adecco Italia is seeking a Data Analyst & Funds Management Specialist to join the team in Roma. You will support the definition, monitoring, and governance of Residual Value and Service Funds for the long-term rental portfolio, ensuring alignment with IAS/IFRS standards.

Ideal candidates have 3–5 years in financial analysis and data analytics, with strong Excel/SQL skills and experience in BI tools (Power BI, Qlik). English fluency is required.

Competenze

• Degree in Economics, Business Administration, Statistics, Mathematics, or related field.
• 3–5 years of experience in Financial Analysis / Business Controlling, Fund Management and Data Analytics.
• Strong analytical and quantitative skills; advanced knowledge of Excel, SQL, and analytics tools (Python or SAS).
• Familiarity with IAS/IFRS accounting principles and provisioning methodologies.

Mansioni

• Support definition, governance, and monitoring of Residual Value and Service Funds.
• Provide insights on portfolio performance and forecasting activities.
• Collaborate with Finance, Accounting, Risk and Business functions to ensure IFRS alignment.
• Contribute to development of analytical tools, processes and governance frameworks.

Conoscenze

Analytical skills

Fluent English

Teamwork

Excel

SQL

Python

SAS

Qlik

Power BI

Formazione

Degree in Economics, Business Admin, Statistics, Mathematics, or related fields

Strumenti

SQL

Excel

Python

SAS

Qlik

Power BI

Descrizione del lavoro

Adecco Italia is seeking a Data Analyst & Funds Management Specialist to join the team in Roma. You will support the definition, monitoring, and governance of Residual Value and Service Funds for the long-term rental portfolio, ensuring alignment with IAS/IFRS standards.

Ideal candidates have 3–5 years in financial analysis and data analytics, with strong Excel/SQL skills and experience in BI tools (Power BI, Qlik). English fluency is required.