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A leading digital financial platform is seeking a FP&A Analyst in São Paulo to manage budgeting, forecasting, and variance analysis related to operations. The role involves building expense models, conducting root-cause analyses, and developing self-serve dashboards. Candidates should possess strong analytical skills, financial modeling expertise, and adaptability in a dynamic environment. Fluency in English is necessary, and experience with tools like Anaplan, SQL, and Python is a plus. Attractive benefits are offered, including equity opportunities, medical plans, and extended parental leave.
Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia.
Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
Listed on the New York Stock Exchange (NYSE : NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.
Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank.
You will be responsible for the financial planning, monthly close, and variance analysis of costs related to the Operations Team (personnel, outsourcing, software, etc.).
You'll partner closely with Efficiency Business Partners and senior stakeholders in Operations and Controllership to enable data-driven decisions, identify optimization opportunities, and implement tracking and reporting.
The role will also leverage modern data platforms and AI tools to automate analyses and accelerate insights.
* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.