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Senior Data Analyst, Finance and Payments

Handshake· General & Administrative
Apply on company site
San Francisco, CA$120k - $150kFull-timePosted 1mo ago

About the role

Senior Data Analyst to support Finance and Central Operations, building data infrastructure, reporting, and analytics for financial and operational decision-making, with close collaboration with Payment Operations.

Responsibilities

  • Build and maintain scalable Finance and Operations dashboards and reporting across revenue, project expenses, margins, cash flows, payments, and other key financial and operational metrics
  • Develop automated data pipelines across systems that bring together information from financial, operational, and business systems
  • Identify and execute opportunities to automate existing financial reporting processes, reducing manual effort and improving the consistency and reliability of recurring deliverables
  • Contribute to the buildout of finance data infrastructure, automate recurring reporting, and reduce reliance on manual, spreadsheet-based processes
  • Partner with Payment Operations to build reporting and analytics around payment volumes, accuracy, exceptions, disputes, and processing performance
  • Develop automated reconciliations and controls to identify missing, duplicate, incorrect, or unusual payments
  • Support the investigation and resolution of payment discrepancies through data analysis
  • Help improve and automate payment workflows, including data validation and exception management
  • Partner with Finance and Operations stakeholders to translate business questions into data models, dashboards, and actionable analysis
  • Establish documentation, data definitions, and controls that improve the reliability and auditability of Finance and Payments reporting
  • Experience with Python or another analytical programming language

Qualifications

  • 3–6+ years of experience in data analytics, analytics engineering, data engineering, financial analytics, or a related field
  • Experience with Python or another analytical programming language

Skills

Required:Data analyticsPython
Nice to have:SQL

Benefits

  • Equity in a fast-growing company
  • 401(k) match, competitive compensation, financial coaching
  • Paid parental leave, fertility benefits, parental coaching
  • Medical, dental, and vision, mental health support, $500 wellness stipend
  • $2,000 learning stipend, ongoing development
  • Internet, commuting, and free lunch/gym in our SF office
  • Flexible PTO, 15 holidays + 2 flex days
  • Team outings & referral bonuses
Last updated Oct 22, 2026. Interested? Apply on the company site.
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