Finance Data Analyst / Funds Management Specialist

LinkedIn; Gallicano nel Lazio; In loco; EUR 35.000 - 42.000; Tempo pieno

Descrizione del lavoro

LinkedIn cerca un Data Analyst Funds Management Specialist per definire, governare e monitorare i fondi principali legati al noleggio a lungo termine, con focus su Residual Value Funds e Service Funds, a Roma.

Il ruolo richiede capacità analitiche avanzate, conoscenza IAS/IFRS, collaborazione con Finance, Accounting, Risk e Business, e la capacità di trasformare dati in insight operativi per la redditività del portafoglio.

Competenze

• Laurea in Economia, Business Administration, Statistica o Matematica.
• 3–5 anni di esperienza in analisi finanziaria/controllo gestione/gestione fondi e data analytics.
• Conoscenze avanzate Excel, SQL, Python (preferito) o SAS.
• Preferibile esperienza con Qlik, Power BI o strumenti BI simili.
• Buona conoscenza IAS/IFRS, principi di leasing e gestione riserve finanziarie.

Mansioni

• Supportare definizione, governance e monitoraggio di Residual Value e Service Funds.
• fornire insight azionabili sulle performance del portafoglio e supportare previsioni.
• Identificare rischi e opportunità finanziarie e collaborare con Finance, Accounting, Risk e Business.
• Contribuire al miglioramento continuo di strumenti analitici, processi e governance.

Conoscenze

Excel avanzato

SQL

Python

Power BI

Analisi dati

Comunicazione

Formazione

Laurea in Economia/Business/Statistica/Matematica

Strumenti

Qlik

SAS

Power BI

Descrizione del lavoro

We are looking for a highly analytical and business-oriented professional to join our team as Data Analyst Funds Management Specialist.

The role will be responsible for supporting the definition, monitoring, forecasting, and governance of the main financial funds related to the long-term rental business, with particular focus on Residual Value Funds (RV Funds) and Service Funds.

Sebbene l'esperienza qualificato e le qualifiche siano fondamentali per questo ruolo, si assicuri di verificare di possedere le soft skill preferenziali, se richieste, prima di candidarsi.

Key Responsibilities

The candidate will play a key role in supporting the definition, governance, and monitoring of Residual Value and Service Funds, ensuring the financial sustainability and profitability of the long-term rental portfolio.

By leveraging advanced data analysis techniques, the candidate will provide actionable insights on portfolio performance, support forecasting activities, and contribute to the identification of financial risks and opportunities. The role will work closely with Finance, Accounting, Risk, and Business functions to ensure alignment with IAS/IFRS accounting principles, Group methodologies, and reporting requirements, while also supporting the continuous improvement of analytical tools, processes, and governance frameworks.

Requirements

• Degree in Economics, Business Administration, Statistics, Mathematics, or related fields
• 3-5 years of experience in Financial Analysis / Business Controlling, Fund Management and Data Analytics, preferably in the long-term vehicle rental / automotive / financial industry
• Strong analytical and quantitative skills, with advanced knowledge of Microsoft Excel, SQL, and analytical tools such as Python (preferred) or SAS.
• Experience with Qlik, Power BI, or similar Business Intelligence platforms is highly desirable
• Good understanding of IAS/IFRS accounting principles, leasing accounting frameworks, provisioning methodologies, and financial reserves management.
• Team-oriented mindset with the ability to work cross-functionally
• Knowledge of vehicle depreciation dynamics, residual values, maintenance, and remarketing is a plus
• Strong communication and problem-solving skills, with the ability to engage both technical and non-technical stakeholders
• Fluent in English, both written and spoken

Location: Roma

Contract Type: Permanent employment contract.

CCSL Contratto Collettivo specifico di lavoro. Employee Level A3.

The compensation package includes a gross annual salary between € 35.000 and € 42.000, commensurate with the candidate's experience and skills.