Data Analyst

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Job Summary

Job Type


Years of Experience
Information not provided

Tech Stacks
Python SQL Presto RedShift Analytics Snowflake

Job Description

About Rippling

Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.

By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With Rippling, you can just click a button and set up a new employees’ payroll, health insurance, work computer, and third-party apps—like Slack, Zoom, and Office 365—all within 90 seconds.

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—and was named one of America's best startup employers by Forbes.

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

About The Role

We are looking for an experienced Data Analyst to join our growing Finance data team.

This is an exciting opportunity to become a foundational member of the Payments & Financial analytics team, responsible for designing, building, and maintaining services that automatically process massive amounts of financial data, providing visibility into each step of the money movement lifecycle in Rippling's payments product ecosystem.

You should have strong critical thinking skills, and the ability to frame and break down complex problems. You thrive under ambiguity and can operate cross functionally in a fast paced environment. You are able to operate across the data stack, and support all elements from data engineering to delivering strategic recommendations.

What you will do

  • Collaborate across the company with engineering, accounting, compliance, and product teams to analyze and account for billions of dollars moving through the Rippling payment platform.
  • Build full-cycle analysis 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.
  • Developing a comprehensive understanding of the processes that currently exist and how to automate them for the future and integrate into the ERP.
  • Developing a deep understanding of the Company data schemas and data models to automate accounting reporting and reconciliations.
  • Collaborating with key stakeholders (Accounting, Compliance, Treasury etc.) to understand business requirements and develop solutions to address reporting and reconciliation automation, including internal tool development and/or implementation of third party tools.
  • Developing and maintaining documentation of reconciliation processes and procedures.
  • Preparing and delivering data and reporting solutions to help automate accounting reconciliations supporting month-end close, regulatory & compliance reporting

What you will need

  • A minimum of 4 years of experience in Business Intelligence/Data Analytics within an finance/accounting department.
  • Excellent verbal communication and presentation ability. You are able tp fram problems, and communicate to all levels of an organization.
  • Proven track record of working cross functionally and communicating findings to executive leadership
  • Experience partnering with Finance/Accounting organizations in performing detailed and data intensive reconciliations with disparate datasets.
  • Experience with data warehousing technologies like Redshift, Snowflake, Presto, etc.
  • Expert in SQL
  • Familiarity with business intelligence best practices and tooling
  • Familiarity with data transformation best practices and tooling (e.g. incremental tables, metrics layer, dbt projects)
  • Experience with data visualization tools and delivering self service reporting

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