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Rippling is seeking an experienced Analytics Engineer (internal title: Data Scientist) to join the Payments Data & Analytics team. You will design, build, and maintain services that process vast amounts of financial data, providing comprehensive visibility into every stage of the money movement lifecycle within Rippling's payments product ecosystem.
In this pivotal role, you will become a core member of the Payments Analytics team, ensuring accurate settlement between customers, external financial institutions, and Rippling for every transaction. This is a highly cross-functional role 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:
- 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; develop real-time metrics dashboards to manage key financial and operating levers
- Monitor payment flows between systems, banks, processors, and inter-company accounts; perform daily account reconciliations and follow up on discrepancies
- React swiftly to emerging issues, summarize facts, and provide recommendations for 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
- 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
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 was named one of America's best startup employers by Forbes.
Rippling highly values in-office collaboration. For office-based employees living within a defined radius of a Rippling office, working in the office at least three days a week is considered an essential function of the role.
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 in 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 the 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
