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 decisions
Requirements: * 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.