Data Scientist, Financial Analytics
Analyzes and reconciles financial and transactional data to improve customer funds reporting, controls, and payments analytics. The role partners cross-functionally with Finance, Compliance, Engineering, and Product while improving dbt pipelines, automation, and data architecture.
About the job
Responsibilities
- Build internal tooling and processes to reconcile financial and transactional data from multiple sources for accurate, repeatable customer funds reporting.
- Collaborate with Accounting, Compliance, Engineering, and other stakeholders to automate reporting and reconciliation through internal tools or third-party solutions.
- Maintain internal controls that protect against payment errors and compliance breaches.
- Support audits, month-end reconciliation, system implementations, and special projects.
- Use data analysis and AI-powered tools to identify process gaps, detect anomalies, and drive automation opportunities.
- Improve the fidelity and performance of dbt pipelines and evolve the broader data architecture.
Requirements
- At least 4 years of experience in business intelligence or data analytics within Finance, Accounting, or Compliance.
- Strong critical-thinking, problem-framing, communication, and presentation skills.
- Experience working cross-functionally and communicating findings to executive leadership.
- Experience partnering with Finance or Accounting teams on detailed, data-intensive reconciliations involving disparate datasets.
- Experience reconciling financial or transactional data, ideally in e-commerce or payments.
- Experience with data warehousing and reporting technologies such as dbt, Snowflake, and Tableau.
- Expert SQL skills.
- Familiarity with business intelligence and data-transformation best practices and tooling.
- Experience with data visualization tools and self-service reporting.
Skills
SQL, dbt, Snowflake, Tableau, Data Warehousing, Business Intelligence, Data Visualization, Data Reconciliation, Data Transformation, Anomaly Detection
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