Accountabilities

• Map and document financial and corporate data sources, systems, ownership, definitions, and data flows to improve transparency and consistency.
• Identify data gaps, inconsistencies, duplication, and reconciliation issues across accounting, billing, CRM, HR, payroll, cash management, and expense-management systems.
• Define data requirements for monthly closing, budgeting, forecasting, and management reporting, ensuring key financial and operational metrics are clearly defined and consistently calculated.
• Explore, transform, and model data from data warehouses and connected business systems to create reliable, reusable, and well-documented datasets.
• Reconcile data across multiple sources and investigate discrepancies to improve the accuracy and reliability of financial and corporate reporting.
• Produce recurring financial analyses, dashboards, and reporting to support leadership decisions, including budget-versus-actuals analysis, variance analysis, cash monitoring, headcount planning, and SaaS performance analysis.
• Collaborate with data engineering teams and system owners to improve integrations, transformations, data accessibility, and quality checks.
• Automate recurring reporting, reconciliations, and analytical workflows where automation can deliver meaningful efficiency gains.
• Maintain documentation covering data lineage, metric definitions, business rules, assumptions, and known limitations.
• Contribute to data governance and quality monitoring, preparing reliable datasets for forecasting, anomaly detection, and future AI-driven use cases.
• Handle confidential financial, HR, and payroll information with discretion, accuracy, and a strong commitment to data protection.
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