Risk Project Controlling And Modelling Analyst

7 giorni fa

Firenze, Italia Randstad Italia A tempo pieno

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. We offer : an initial 12 month temporary contract with the possibility of direct placement in the company. CCNL Metalworking Industry, RAL €. Benefit : possibility of smart working. 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 ServiceManagement 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. Requirements: 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

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