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Sr. Revenue Operations Analyst

PadSplit · LATAM · Remote

USD 40,000 - 50,000 / yearly

Published 2026-11-01 · Availability last checked 2026-11-11

Workplace: Remote. Eligible locations: LATAM.

Experience level
Director
Application deadline
Not provided by the employer
Industry / category
Data Science & Analytics
Salary
USD 40,000 - 50,000 / yearly

Skills mentioned in the description

  • SQL
1 view

The Role We Need

PadSplit's demand engine spans Marketing, Lifecycle, Member Acquisition, and Member Success, but no one owns how these teams connect once a lead is approved, leaving us blind to where members stall on the way to a move-in and unable to see which outreach actually converts. We need a Sr. Revenue Operations Analyst to own the last, most critical leg of the funnel: the calling and human outreach that turns an approved lead into a housed member, along with the reporting that makes the whole funnel legible. This role starts narrow (conversion and outreach) with room to expand into the broader Demand Growth function over time.

The Person We Are Looking For

We're looking for a builder-operator with 5+ years in revenue operations, growth operations, or funnel analytics, who is fluent in SQL or a BI tool like Hex, Mode, or Looker and has real instinct for calling operations, script testing, and agent coaching. This person uses AI daily to build reporting, analyze calls, and scale outreach, and has a clear point of view on where AI makes an ops team faster. They can hold many channels at once without losing the thread, and translate a messy funnel into decisions leadership can act on.

Here's What You'll Be Doing Day-to-Day:

Here's What You'll Need to Be Successful:

The Interview Process:

Compensation

Compensation is based on the role's scope, national market benchmarks, the person's expertise and experience, and the impact of their contributions to our business goals.

Additional Information

Please note: Although the job posting says it's in Brazil, this is a fully remote position open to anyone in South America. This is a result of our Applicant Tracking System requiring a location to post the role on LinkedIn.

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