Risk Project Controlling And Modelling Analyst
Pubblicato il 24-10-2026 - Randstad Italia in Firenze
Overview
Randstad Italia Spa, Florence branch, is looking for a
RISK PROJECT CONTROLLING AND MODELLING ANALYST
for a major multinational company operating in the Oil & Gas sector.
Benefits
an initial 12 month temporary contract with the possibility of direct placement in the company. CCNL Metalworking Industry, RAL €.
Workplace
Florence
Key Responsibilities
- manage the assessment of long-term service agreement profitability through a yearly SOX-compliant process, supported by an auditable model on dedicated IT tools that reflect all contractual obligations and actual performance;
- ensure timely and accurate analysis of contract execution in terms of financials and operational conditions, highlighting variances and sharing feedback with operations;
- provide Service Management with financial impact estimations derived from contract profitability analysis, offering valuable insights into critical issues and improvement opportunities;
- collaborate with cross-functional teams to ensure smooth execution of internal processes, promoting adoption and simplification;
- interact with the commercial team during contract renegotiations, offering feedback and guidance on how to leverage contractual structures.
Qualifications
- strong experience with Power BI, including data modeling, dashboard creation, and advanced reporting to support strategic decision-making;
- educational background in Engineering (Industrial or Management Engineering) or Economics, with a solid understanding of financial analysis and project controlling principles;
- familiarity with digital tools and predictive modeling techniques is a plus;
- excellent command of the English language, both written and spoken, to effectively communicate with international teams and manage technical and financial documentation.
The search is open to both male and female candidates (L.903/77). Please read the privacy policy pursuant to Article 13 of Regulation (EU) 2016/679 on data protection (GDPR) at J-18808-Ljbffr
#J-18808-Ljbffr