Lead Data Analyst - Financial Reporting
Role Overview
Build data infrastructure and automation that make financial statements accurate, consistent and audit-ready as Wise scales globally.
The position sits between data analytics and financial reporting and is not traditional accounting.
Key Skills for This Role
Full Job Posting
Role mission
Build data infrastructure and automation that make financial statements accurate, consistent and audit-ready as Wise scales globally.
The position sits between data analytics and financial reporting and is not traditional accounting.
What you will work on
- Define and own key performance metric logic and ensure clear attribution for financial statement line items.
- Manage end-to-end data pipelines, including orchestration and validation.
- Connect internal data lakes with reporting tools such as Anaplan and Planful, and map internal data to the General Ledger.
- Structure complex audit data extracts and build source-of-truth queries that demonstrate financial integrity.
- Partner with Finance leadership to support consistent reporting across financial disclosures.
What you need
- Strong quantitative foundation and comfort navigating large, complex datasets.
- Ability to write optimized SQL queries to extract financial data.
- Basic financial literacy, including balance sheets, profit and loss statements, transactions and ledgers; a finance or accounting background is not required.
- Ability to learn tools quickly and use internal platforms and systems to improve data quality.
- Autonomy and initiative to identify reporting-efficiency gaps and build solutions.
- Exposure to dbt, Python, Airflow or BI tools is a plus.
Benefits and development
- The posting describes stock options, an annual development budget, development time, and a paid six-week sabbatical after four years of service.
Work arrangement
- The posting describes a flexible office/home hybrid working model.
Compensation
- Salary range is GBP 75,000–115,000 annually.
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