Finance data Analyst

we are looking for a brilliant Finance data Analyst to join our fast-growing company as part of the FP&A team. As part of this position, you will provide technical, analytical, and operational support across multiple core functions, including Finance (FP&A, Accounting), Investor Relations, and Legal teams. You will take a significant part in delivering data -driven insights and supporting critical regulatory and compliance processes.

Were looking for someone who is AI-native, tech-savvy, and curious by nature - a self-learner who takes ownership, utilizes AI tools to enhance analytical workflows, and proactively turns sensitive financial and user data into action. What am I going to do?:

Act as the data delivery focal point for Finance (FP&A, Accounting), Investor Relations, and Legal teams.

Perform daily data extraction, analysis, validation, and quality checks on complex financial datasets (revenues, fees, GMV, users, etc.).

Support FP&A with ongoing reporting, financial modeling, and a deep understanding of revenue structures and business models (Marketplace, Seller tools, etc.).

Support financial audit processes and SOX compliance, collaborating with external auditors (EY) and internal stakeholders to validate financial reporting accuracy.

Support Investor Relations by translating business questions into structured data analyses for earnings calls and ongoing reporting needs.

Collaborate with legal stakeholders to support GDPR-related procedures and monitor regulatory and compliance-related processes.

Collaborate with data & Engineering teams on data pipelines and new data initiatives.

Define requirements for data and finance tools, lead implementation projects, and proactively manage multiple priorities in a fast-paced environment.

Communicate actionable insights, findings, and ongoing business analysis to cross-functional stakeholders.

Build and maintain dashboards and data visualizations to monitor financial performance and support ongoing business decisionsRequirements:

At least 5 years of technical experience in a related analytical field - a must High proficiency in SQL(BigQuery) and experience working with data warehouses - a must Significant, proven experience collaborating with or working directly within Finance organizations (handling financial data and metrics) - a must Related Bachelor's degree and relevant certifications Experience with BI tools (e.g., Tableau, Looker) Understanding of data modeling and large-scale data environments Proven experience working with AI tools and EDAs (Cursor, Claude Code, etc.) Strong analytical thinking and problem-solving abilities, with strict attention to detail and data accuracy when working with sensitive datasets Excellent communication and stakeholder management skills A proactive "can-do" approach with high ownership, accountability, and the ability to work independently This position is open to all candidates.