Finance Data Analyst

📋 Description

• Map and document financial and corporate data sources, systems, ownership, definitions, and data
• Identify data gaps, inconsistencies, duplication, and reconciliation issues across systems.
• Define data requirements for closing, budgeting, forecasting, and management reporting.
• Model data to create reliable, reusable, and well-documented datasets.
• Reconcile data across sources and investigate discrepancies.
• Automate recurring reporting, reconciliations, and analytical workflows.

🎯 Requirements

• At least 3 years in data analysis, BI, financial analytics, or FP&A.
• Strong analytical and problem-solving skills for data investigation.
• Good command of SQL and one BI/data visualization tool.
• Solid understanding of financial concepts including budgeting and forecasting.
• Advanced Excel or Google Sheets skills.
• Professional fluency in English, written and spoken.

🎁 Benefits

• Exposure to financial strategy and business performance.
• Work with Finance, Data Engineering, and cross-functional teams.
• Scope to improve reporting and contribute to automation.
• Develop expertise in financial analytics and SaaS metrics.
• Collaborative environment valuing communication and problem-solving.
• Potential exposure to AI-driven analytical projects.