# Data Analyst - Payments at Rippling

- Company: Rippling
- What the company does: 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. Backed by Kleiner Perkins, Lightspeed and Sequoia.
- Company website: https://rippling.com/
- Type: Startups
- Level: Analyst
- Location: San Francisco, CA
- Work setup: On-site
- Pay: $100K to $150K base salary per year (USD)
- Posted: 2026-09-14
- Apply by: 2026-10-29
- Apply: https://ats.rippling.com/rippling/jobs/eb853be6-ef78-49a1-84e8-a7dae51754a1
- Page: https://www.1752.vc/careers/jobs/rippling-data-analyst-payments/

## About the role

Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Data Analyst - Payments (internal title: Data Scientist) 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.

## What they're looking for

- 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

Tags: Finance