Senior Data Analyst (Finance and Payments)

Handshake

San Francisco, United States Posted October 28, 2026

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Remote Full-time Senior
Salary Range

$120,000 - $150,000

Job Description

Join Handshake as a Senior Data Analyst in the Finance and Payments team. This role involves building data infrastructure, reporting, and analytics to support financial and operational decision-making. You will collaborate closely with the Payment Operations team and work during core U.S. business hours. Benefits include comprehensive health insurance, fertility and family forming support, mental health resources, 401k match, equity grants, flexible time off, and more.

  • Automatiser les pipelines de données entre les systèmes financiers, opérationnels et commerciaux.
  • Collaborer avec les parties prenantes pour traduire les questions commerciales en modèles de données, tableaux de bord et analyses exploitables.
  • Contribuer à la construction de l'infrastructure de données financières, automatiser les rapports récurrents et réduire la dépendance aux processus manuels.
  • Experience with Python or another analytical programming language
  • Develop automated data pipelines across systems that bring together information from financial, operational, and business systems
  • Partner with Finance and Operations stakeholders to translate business questions into data models, dashboards, and actionable analysis
  • Contribute to the buildout of finance data infrastructure, automate recurring reporting, and reduce reliance on manual, spreadsheet-based processes
  • Establish documentation, data definitions, and controls that improve the reliability and auditability of Finance and Payments reporting
  • Develop automated reconciliations and controls to identify missing, duplicate, incorrect, or unusual payments
  • Partner with Payment Operations to build reporting and analytics around payment volumes, accuracy, exceptions, disputes, and processing performance
  • Help improve and automate payment workflows, including data validation and exception management
  • Identify and execute opportunities to automate existing financial reporting processes, reducing manual effort and improving the consistency and reliability of recurring deliverables
  • 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
  • 3–6+ years of experience in data analytics, analytics engineering, data engineering, financial analytics, or a related field
  • Support the investigation and resolution of payment discrepancies through data analysis
  • Familiarity with modern data warehouses and transformation tools such as Snowflake, BigQuery, Databricks, or similar
  • Advanced SQL skills and experience working with large datasets
  • Experience building dashboards and reporting using tools such as Hex, Looker, Tableau, Power BI, or similar
  • Strong understanding of data modeling, data quality, reconciliation, and automation
  • Ability to understand financial and operational processes and translate them into technical solutions
  • Experience working with Finance teams strongly preferred
  • Strong analytical mindset and ability to independently investigate discrepancies and ambiguous data problems
  • Experience with payment operations, high-volume contractor payments, or other transaction-heavy environments is a plus
Required Skills
data analysis decision making collaboration Python reconciliations data engineering transformation Snowflake BigQuery Databricks SQL Looker Tableau Power BI data architecture
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