Customer Data Analytics Senior Manager

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.

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About The Role
Rippling is looking to hire a Senior Customer Data Analytics Manager to join our growing customer revenue strategy and operations. They will be immediately and directly responsible for overseeing the buildout of Rippling's customer data model. You will develop data visualizations and uncover insights that support the growth of our customer focused sales teams. You'll work closely with colleagues to provide visibility into the performance of the business, identify key trends, and meet our analytics needs as the organization grows. You'll also collaborate closely with sales leadership and other key cross-functional partners to define and track KPIs, as well as develop and execute operational plans across our analytics efforts.

The ideal candidate will have worked in fast-paced environments before, ideally at a multi-product SaaS company and will have made a measurable impact to the sales organization. You should also be comfortable tackling ambiguous and challenging problems and working independently as well as part of a team. This is an opportunity to work on high-visibility strategic initiatives in a rapidly growing sales organization.

What You Will Do

• DRI for Development of Customer Data Tables: Collaborate with data science and engineering to build, document, and manage core customer data tables for Rippling.
• Understand the Business and Deploy Metrics : Partner with the revenue operations and business operations teams to develop a deep understanding of the business. Engage with