Senior Data Analyst - Payments

Rippling’s payments platform depends on rigorous data to track money movement across the product ecosystem. The Senior Data Analyst - Payments will design, build, and maintain data services that automatically process large volumes of financial data and provide visibility into the lifecycle of payments. Based in San Francisco, CA on-site, this role supports Accounting, Finance, Biz Ops, Payments, and Product teams with accurate data for financial and product systems, with a salary range of USD 114,000 to 199,500 per year.

Responsibilities

• Partner with engineering, accounting, financial partnerships, and product groups to analyze and account for billions of dollars flowing through the Rippling payments platform.
• Develop end-to-end analyses using SQL, Python, and other scripting or statistical tools, and create real-time dashboards to monitor key financial and operating levers.
• Track payment flows across systems, banks, processors, and inter-company accounts; perform daily reconciliations and resolve discrepancies.
• Respond quickly to emerging issues, summarize findings, and provide recommendations to resolve time-sensitive financial matters.
• Collaborate with stakeholders such as Accounting, Compliance, and Treasury to capture business requirements and design scalable reporting and reconciliation automation solutions, including internal tools or third-party implementations.
• Create and maintain comprehensive documentation of reconciliation processes and procedures.
• Provide data and reporting support for month-end close, regulatory and compliance reporting, and internal and external audits.
• Present findings and recommendations to stakeholders through clear, concise presentations and reports.

Requirements

• Master’s degree or Bachelor’s degree in Computer Science, Engineering, Statistics, Data Science, Economics, Mathematics, Business Analytics, or related fields.
• At least four years of experience applying analytics engineering, analysis, modeling, or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash, or financial reporting.
• Experience with data warehousing, ETL, and reporting tools such as Snowflake, Tableau, dbt, and Dagster.
• Strong SQL expertise across the full data science lifecycle, from initial analysis and model development to deployment.
• Proven ability to work with engineering, finance, and accounting teams to assess data needs and build automated reporting pipelines.
• Solid problem-solving and communication skills, able to convey findings and recommendations to both technical and non-technical audiences.
• Ability to interact with multiple stakeholders and senior leadership 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

Additional Information

Rippling is an equal opportunity employer committed to a diverse and inclusive workforce. The company does not discriminate based on protected characteristics and provides reasonable accommodations as needed. Rippling values in-person collaboration and expects office-based employees to be in the office at least three days per week where applicable. The role carries a competitive salary plus benefits and equity. For US-based roles, the compensation is aligned with location-specific tiers, and final offers may vary based on factors such as experience and geography.