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Rippling is seeking an experienced Data Analyst - Payments (internal title: Data Scientist) to join the Payments Data & Analytics team. You will be responsible for designing, building, and maintaining services that automatically process vast amounts of financial data, providing comprehensive visibility into every stage of the money movement lifecycle within Rippling's payments product ecosystem.
This is a foundational role on the Payments Analytics team, ensuring accurate settlement between customers, external financial institutions, and Rippling for every transaction. The role is highly cross-functional with significant visibility to the executive team. You will empower the Accounting, Finance, Biz Ops, Payments, and Product teams by delivering accurate data critical to Rippling's finances and essential for correct product system functioning.
Key responsibilities include:
- Collaborating cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform
- Building full-cycle analyses using SQL, Python, or other scripting and statistical tools, and developing real-time metrics dashboards to manage key financial and operating levers
- Monitoring payment flows between systems, banks, processors, and inter-company accounts; performing daily account reconciliations and following up on discrepancies
- Reacting swiftly to emerging issues, summarizing facts, and providing recommendations for timely resolution of critical financial matters
- Collaborating with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation
- Developing and maintaining comprehensive documentation of reconciliation processes and procedures
- Preparing and delivering data and reporting solutions supporting month-end close, regulatory & compliance reporting, and internal/external audit reporting
- Communicating findings and recommendations to stakeholders through clear presentations and reports
Rippling is a San Francisco-based company that has raised $1.4B+ from top investors including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock. The company provides an integrated platform for HR, IT, and Finance, enabling businesses to manage and automate every part of the employee lifecycle in a single system.
Rippling values in-office collaboration and requires office-based employees (those within a defined radius of a Rippling office) to work in the office at least three days per week.
REQUIREMENTS:
- Master's degree or Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, Economics, Mathematics, Business Analytics, or related field
- 3+ years of demonstrated experience applying analytics engineering, analysis, modeling, and/or exploratory analysis to 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 (initial analysis and model development through deployment)
- Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines
- Strong problem-solving and communication skills, with ability to communicate findings and recommendations clearly to both technical and non-technical audiences
- Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization
- Bonus: experience with general accounting principles, the general ledger close process, and regulatory compliance
