Analytics Engineer

About Rippling Rippling is a workforce management system that eliminates the friction from running a business. Today, most companies struggle with everything from routine tasks, like running payroll, to cross-functional planning, like aligning on headcount. That’s because all their data related to people, processes, and systems is scattered in a hundred places. Rippling has every application you need to run your business—from applicant tracking and payroll to IT and expenses—in one place. But unlike other systems, Rippling sits on top of a unified platform. Data flows dynamically between Rippling’s applications, giving every team a shared source of truth, the power to automate processes, and access to the insights they need. This allows your business to execute better, faster. Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock. Get help: rippling.com/contact Licensing details: https://app.rippling.com/licensing

Rippling

Rule your business with Rippling AI NMLS ID: 1931820

R

rippling.com

1,001-5,000 employees

Software Development

San Francisco, California

2016

Privately Held

506k LinkedIn followers

Raised $2.4B

• 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.

• Master’s degree or Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, Economics, Mathematics, Business Analytics, or other related fields.
• 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 points if you have experience with general accounting principles, the general ledger close process, and regulatory compliance.

• Competitive Salary
• Equity