Payments Analytics Engineer: Insights & Reconciliation

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

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.