Finance Data Analyst

About the role

We are seeking a Finance Data Analyst to transform complex financial and operational data into reliable insights that support strategic decision‑making and business performance. You will bridge finance and technical teams, ensuring data is consistent, accessible, and actionable across finance, revenue, operations, HR, and cloud infrastructure systems.

Key responsibilities

• Map and document financial and corporate data sources, ownership, definitions, and data flows.
• 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.
• Explore, transform and model data from data warehouses and business systems to create reusable, well‑documented datasets.
• Reconcile data across multiple sources, investigate discrepancies and improve reporting accuracy.
• Produce recurring financial analyses, dashboards and reports for leadership, including variance, cash monitoring and SaaS performance analysis.
• Collaborate with data engineering and system owners to improve integrations, transformations and data quality checks.
• Automate recurring reporting, reconciliations and analytical workflows where efficiency gains are possible.

Required profile

• At least 3 years of experience in data analysis, business intelligence, financial analytics or FP&A.
• Strong analytical and problem‑solving skills with ability to investigate data across multiple systems.
• Solid understanding of budgeting, forecasting, monthly closing, variance analysis, revenue, cash flow and unit economics.
• Advanced Excel or Google Sheets skills for reviewing, auditing and structuring financial models.
• Professional fluency in English, both written and spoken.

Required skills

• SQL
• Business intelligence or data‑visualisation tool (e.g., Tableau, Power BI)
• Excel / Google Sheets
• Python (nice‑to‑have for analysis and automation)
• Data‑warehouse concepts, data modelling, ETL processes and APIs

What we offer

• Full‑time role with exposure to financial strategy and business performance.
• Opportunity to work in a technology‑driven environment alongside Finance, Data Engineering and cross‑functional teams.
• Scope to improve reporting processes, strengthen data quality and contribute to automation and advanced analytics initiatives.
• Potential exposure to forecasting, anomaly detection and AI‑driven analytical projects.
• Salary, healthcare coverage, paid leave, flexibility and other benefits to be confirmed with the hiring company.