Senior Data Analyst, Product Finance

Role Overview

• Strategic Data Architecture: Design and optimize end-to-end data pipelines for Partner Files, moving beyond simple monitoring to building automated, resilient ingestion frameworks that minimize manual intervention.
• Advanced SQL & Analytics Engineering: Develop, peer-review, and maintain production-grade SQL repositories. You will lead the technical logic for onboarding complex new financial partners and integrating multi-source data streams.
• Investigative Analytics & Forensic Discovery: Conduct deep-dive forensic analysis on complex financial discrepancies. You will utilize advanced statistical methods to perform root-cause analysis on variance outliers, identifying systemic issues before they impact the General Ledger.
• Governance & Control Leadership: Architect and oversee the automated validation framework. You will define the "Source of Truth" standards and implement proactive anomaly detection to ensure 100% financial data integrity.
• System Subject Matter Expertise: Serve as the lead technical consultant on the Finxact core system. You will translate complex banking configurations into clear financial logic for executive leadership and external auditors.
• Financial Data Research: Stay at the forefront of Fintech data trends and regulatory shifts. You will perform longitudinal research on transaction patterns and partner behavior to provide predictive insights that inform product pricing and risk strategies.
• Process Transformation: Identify systemic inefficiencies in existing BaaS workflows and lead cross-functional projects to automate reporting, reducing time-to-close and increasing auditability.
• Mentorship & Collaboration: Act as a technical mentor to junior analysts. Partner directly with Product and Engineering leads to influence the data roadmap for future product launches.

Requirements

• Education: Bachelor’s degree in Finance, Accounting, Data Science, or a related quantitative field.
• Experience: 5–8+ years of experience in Financial Data Analysis, Analytics Engineering, or Fintech Operations.
• Master-Level SQL: Proven ability to write high-performance queries, manage stored procedures, and optimize complex joins across disparate schemas.
• Data Modeling and Visualization: Advanced experience in dimensional modeling and building scalable reporting structures in BI tools or Python/R.
• Investigative Mindset: Strong ability to synthesize unstructured data into structured insights, with a proven track record of solving "black box" data problems through meticulous research and hypothesis testing.
• Financial Domain Authority: Deep expertise in BaaS, Fintech, or Core Banking accounting (General Ledger structures, settlement logic, and regulatory reporting requirements).
• Systems Experience: Expert-level familiarity with Finxact or similar cloud-native banking cores is required.
• Leadership Soft Skills: Exceptional ability to communicate technical data concepts to non-technical executive stakeholders and manage projects through the full SDLC (Software Development Life Cycle).

Tech Stack

• Cloud
• Python
• SDLC
• SQL

Benefits

• Competitive compensation, based on experience, geographic location, and role
• Medical, Dental, Vision, Life, 401k Matching, and other wellness benefits, including FSA, HSA and HRA
• Paid parental leave
• Flexible vacation policy, including PTO and paid holidays
• A fun and challenging team environment in a dynamic industry with ample opportunities for career growth