# Analytics Engineer

**Company:** [Rippling](https://hotfix.jobs/companies/rippling)
**Location:** San Francisco, CA, New York, NY
**Role:** Data Analytics
**Salary:** $114k – $200k/yr
**Experience:** 4+ years
**Skills:** SQL, Python, Snowflake, Tableau, dbt, Dagster, ETL, Data Warehousing, Financial Reporting, Payments Processing
**Posted:** 2026-06-30

> Build and maintain analytics, reporting, and reconciliation pipelines for Rippling's payments platform. Collaborate with finance, accounting, and product teams to analyze billions in transaction flows, deliver dashboards, and support month-end close, compliance, and audits. Requires 4+ years analytics engineering experience with SQL, Python, and data tools.

## Job Description

## 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).
- 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
- Experience with general accounting principles, the general ledger close process, and regulatory compliance.

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