Senior Growth Analytics & Operations Manager

Senior Growth Analytics & Operations Manager

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.

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

About the role

The Rippling Growth Operations team is looking for a data-savvy individual to serve as a key player in driving impactful, data-driven projects that will fuel business growth. Unlike traditional performance analysis, modeling, or planning roles, this role will serve more as the data SME on the growth ops side and carry the knowledge of how our data is automated and orchestrated across our complex GTM tech stack; working with unique data sets such as email compliance website / seo / experiment data, attribution frameworks, 3rd party intent, person / account scoring models, and much more. This role requires the ability to communicate our underlying data infrastructure in an effective way, collaborate cross functionally, and to provide context into the “why” behind the data.

What you will do

• Support key data and analytics programs such as lead scoring, account scoring, attribution, campaign / program hierarchies, new data pipelines, audience creation, etc.
• Partner closely with our Growth Engineering team to build a data dictionary; SQL tables / views, column definitions, communicating changes to underlying data sources, sync cycles, and build out data enrichment / generation tools
• Audit, analyze, and identify gaps in our core marketing data sets and partner with Marketing Ops to fill those gaps wherever possible
• Build “operational” analytics dashboards as a conduit to observability for key operational programs and automation
• Build out source of truth data sources in DBT that unify complex and varied data sources
• Implement Reverse ETL pipelines to push clean data into SFDC and other partners
• Manage ongoing database hygiene efforts and enrichment validation processes to ensure the integrity, consistency, and usability of prospect data

What you will need

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee\'s role.

This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here .

A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.

The pay range for this role is :

108,000 - 189,000 USD per year (US Tier 1)

#J-18808-Ljbffr