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A great opportunity for a detail-driven analyst who thrives in structured reporting but is looking to grow into a more analytical and value-add role. You'll play a key role in delivering high-quality reporting while supporting the evolution of finance through improved tools, processes, and analytics.
Job Responsibility:
Prepare and distribute monthly reports for countries and business units to support performance tracking
Maintain working files for actuals, forecasts, and budgets to enable timely and accurate global results
Review country variance commentary, ensuring drivers are clearly articulated for consolidation and building leadership narratives
Reconcile data between local systems and the global reporting platform (GRP), partnering with countries to resolve issues
Support financial system updates as needed
Analyze financial and operational data to identify emerging trends, risks, and opportunities
Build models for ad hoc analysis and business cases
Proactively identify evolving reporting and analysis needs as business and group priorities shift
Partner with the Data & BI Senior Analyst on transformation initiatives to modernize global finance reporting
Support consistency in financial reporting processes across countries
Act as a key point of contact for country teams, assisting with queries, reconciliations, and data integrity
Help align local practices with global expectations while being sensitive to local nuances.
Requirements:
Bachelor’s degree in Finance, Accounting, or a related discipline
3–4 years of experience in a finance, reporting, or analyst role
Advanced Excel skills required
Familiarity with financial systems
JD Edwards or similar ERP experience a plus
Strong analytical and documentation skills with the ability to manage large and detailed data sets
Experience or education in data analysis or predictive analytics is a plus
High level of integrity and reliability
Comfortable working independently and as part of a global team
Fluent in English, both written and verbal
Must be able to work the following hours: 11am to 7pm UTC to ensure overlap with the US team.
Nice to have:
Experience or education in data analysis or predictive analytics
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