Data Analytics Engineer (Payments)

Rippling; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Rippling's Payments Data & Analytics team seeks an Analytics Engineer - Payments to design, build, and maintain services that process vast financial data, providing visibility into the money movement lifecycle within Rippling's payments product ecosystem.

This is a cross-functional role with exposure to the executive team, empowering Accounting, Finance, Biz Ops, Payments, and Product teams with accurate data for finances and product systems.

Qualifications

• Master’s or Bachelor’s degree in a related field (CS, Engineering, Data Science, Econ, Math).
• 4+ years applying analytics engineering, analysis, modeling to large datasets, preferably in payments or financial reporting.
• Experience with data warehousing, ETL, and reporting tools (Snowflake, Tableau, dbt, Dagster).
• Extensive SQL experience across the data science development process.

Responsibilities

• Collaborate cross-functionally with engineering, accounting, partnerships, and product teams to analyze payments data.
• Build full-cycle analyses using SQL, Python, and dashboards to monitor financial levers.
• Monitor payment flows, perform reconciliations, and resolve discrepancies.
• Develop scalable reporting and reconciliation automation solutions with internal tools or third-party tools.
• Document reconciliation processes and procedures for governance and audits.
• Support month-end close, regulatory reporting, and audit reporting with data and dashboards.

Skills

SQL

Python

Data analysis

Analytical thinking

Education

Bachelor's degree or higher in CS / Engineering / Math

Tools

Snowflake

Tableau

dbt

Dagster

Job description

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third‑party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America’s best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

Job Description

Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Analytics Engineer - Payments (Internally titled: Data Scientist - Payments) to join our rapidly expanding team. In this pivotal role, 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 an exciting opportunity to become a foundational member of the Payments Analytics team, ensuring accurate settlement between our customers, external financial institutions, and Rippling for every transaction. This is a highly cross-functional role with significant visibility, including with the executive team. You will empower the Accounting, Finance, Biz Ops, Payments, and Product teams by delivering accurate data that is critical to Rippling’s finances and essential for the correct functioning of product systems.

What You Will Do

• 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.

What You Will Need

• Master’s degree or Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, Econ, Math, Business Analytics, or other related fields.
• 4+ 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).