Data Analyst II, Treasury

Role overview Run and improve treasury operations that support the movement of funds between borrowers, merchants, and capital partners. You’ll combine financial operations, data analysis, and process automation to manage recurring workflows, investigate discrepancies, and strengthen controls around high-value transactions.

Responsibilities - Carry out recurring finance operations, including loan sales to investors. - Build and maintain scripts that automate business processes. - Read, debug, and update existing SQL and Python pipelines, as well as develop new tools. - Serve as a resource on loan data and finance processes for support, product, and finance colleagues. - Analyze ad hoc data questions and communicate findings to internal and external partners. - Develop validations and governance controls to reduce fraud and financial errors.

Requirements - At least two years of professional experience. - Bachelor’s degree; economics, accounting, finance, or a related discipline is preferred. - Working knowledge of SQL and strong Excel skills. - Interest in learning Python; prior experience is an advantage. - Analytical curiosity, attention to detail, and the ability to independently own high-value processes. - Ability to work well with both technical and non-technical teams. - An automation-focused approach and willingness to use AI tools to develop and debug queries or reconciliation tools.

Nice to have - Experience moving spreadsheet-based processes into SQL or script-driven workflows. - Fintech experience, especially with loan, credit, or lending data.

Benefits and work setup - Base salary range: $70,800–$99,100, plus equity and benefits. Compensation depends on qualifications and experience.