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Senior Data Analyst - Payments

Rippling
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Hybrid (San Francisco, CA), Hybrid (New York, NY)$114k - $190kfull-timePosted 2mo ago

About the role

Senior Data Analyst on the Payments Data & Analytics team responsible for designing, building, and maintaining services that process large volumes of financial data and provide visibility into the money movement lifecycle within Rippling's payments product ecosystem.

Responsibilities

  • Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform.
  • Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business.
  • Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies.
  • React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters.
  • Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools.
  • Develop and maintain comprehensive documentation of reconciliation processes and procedures.
  • Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting.
  • Communicate findings and recommendations to stakeholders through clear and concise presentations and reports.

Qualifications

  • Master’s degree or Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, Econ, Math, Business Analytics, or related fields.
  • 4+ years of demonstrated experience in analytics engineering, analysis, modeling, and/or exploratory analysis on large datasets, ideally in payments processing, quote-to-cash, or financial reporting.
  • Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster).
  • Extensive experience with SQL and its application to all phases of the data science development process.
  • Experience working with engineering, finance, and accounting teams to assess data needs and build automated reporting pipelines.
  • Strong problem-solving and communication skills; ability to present findings to technical and non-technical audiences.
  • Ability to interface with multiple stakeholders and senior leadership (C-suite).
  • Bonus: experience with general accounting principles, the general ledger close process, and regulatory compliance.

Skills

Required:SQLPythondata warehousingdbt
Nice to have:Tableau
Last updated Sep 23, 2026. Interested? Apply on the company site.
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About Rippling

#1 Workforce Management System | HR, IT, Finance

Rippling eliminates the friction from running a business, combining HR, IT, and Finance apps on a unified data platform.

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