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Job Description

Rippling is seeking an Analytics Engineer - Payments in New York, NY (onsite) to design, build, and maintain data services that process and provide visibility into payment data, enabling cross-functional teams with accurate dashboards across the money movement lifecycle, with a salary range of USD 114,000 to 199,500 per year.

Responsibilities

  • Collaborate across engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform.
  • Develop end-to-end analyses using SQL, Python, or other scripting and statistical tools, and create 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 investigate discrepancies.
  • Respond swiftly to emerging issues, summarize facts, and provide recommendations for timely resolution of critical financial matters.
  • Collaborate with stakeholders in Accounting, Compliance, Treasury, and other teams to capture business requirements and develop scalable reporting and reconciliation automation solutions, including internal tools or third-party implementations.
  • Develop and maintain comprehensive documentation of reconciliation processes and procedures.
  • Prepare and deliver data and reporting solutions to support month-end close, regulatory and compliance reporting, and Internal/External Audit activities.
  • Communicate findings and recommendations to stakeholders through clear and concise presentations and reports.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Data Science, Economics, Mathematics, Business Analytics, or related fields.
  • 4+ years of experience applying analytics engineering, analysis, modeling, or exploratory analysis to large datasets, preferably in payments processing, quote-to-cash, or financial reporting.
  • Experience with data warehousing, ETL, and reporting tools such as Snowflake, Tableau, dbt, and Dagster.
  • Extensive SQL experience across the data science development lifecycle, from initial analysis and model development to deployment.
  • Experience partnering with engineering, finance, and accounting teams to assess data needs and build automated reporting pipelines.
  • Strong problem-solving and communication skills, with the ability to present findings clearly to both technical and non-technical audiences.
  • Ability to engage with multiple stakeholders and senior leadership (including C-suite) across the organization.
  • Bonus points for experience with general accounting principles, the general ledger close process, and regulatory compliance.

Technologies

  • SQL
  • Python
  • Snowflake
  • Tableau
  • dbt
  • Dagster

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