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Sr. Revenue Operations Analyst

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Remote from
LATAM
Salary
USD 40k–50k / yr
Employment
Contract
Experience
Director
Published
Apply before
1 Dec 2026
Listing views
38
Application actions
3
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AI Summary

The role, at a glance.

PadSplit is seeking a senior Revenue Operations Analyst to improve the final conversion stages from approved lead through move-in. The role combines funnel analytics, call-operations optimization, AI-enabled outreach, agent coaching, CRM hygiene, and lifecycle coordination. The analyst will build and maintain Hex-based dashboards, identify conversion bottlenecks, and establish operational SLAs across growth-facing teams. This contract role requires at least five years of RevOps, growth operations, sales operations, or funnel analytics experience, along with strong SQL or BI-tool fluency. It is fully remote for candidates located in South America.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, zero-to-one operational analytics role requiring ownership of an ambiguous, cross-functional conversion funnel. Success depends on combining quantitative analysis with practical calling-operations expertise, AI workflow design, and stakeholder influence.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Below market
$45,000
US market range (per year)$70k–$95k
AI insightThe employer discloses annual compensation of $40,000–$50,000 USD, with a midpoint of $45,000. Estimated annual market compensation for a senior Revenue Operations Analyst in the US market is $70,000–$95,000 USD; the disclosed range may reflect the role's South America-only hiring scope and contract structure.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you diagnose a decline in conversions between approved leads and booked move-ins?

I would first validate the funnel definitions and data completeness, then segment conversion and velocity by acquisition source, market, lead age, outreach channel, agent, and contact attempt. I would pair the quantitative findings with call reviews and CRM-event analysis to identify whether the main issue is routing, speed to lead, script quality, offer fit, or handoff friction. I would prioritize a small set of measurable interventions and monitor their impact through a controlled dashboard.

Describe how you would decide when an AI caller should hand off a lead to a human agent.

I would define handoff rules using intent, lead value, confidence scores, sentiment, objection type, and prior contact history. Human escalation should occur when a lead demonstrates high intent, has a complex eligibility or housing question, repeatedly fails automated flows, or expresses frustration. I would continuously evaluate handoff performance against conversion, response time, and member experience to refine the thresholds.

What metrics would you include in an end-to-end demand-funnel dashboard?

I would include lead volume, approval rate, contact rate, speed to first contact, attempt frequency, appointment or booking rate, move-in rate, stage-to-stage conversion, time in stage, drop-off reasons, channel attribution, and cost per move-in. I would also add operational views by market, agent, campaign, and cohort. Clear definitions and drill-downs are essential so teams can act without rebuilding the analysis.

How have you used AI to improve revenue or growth operations?

I use AI to accelerate analysis, summarize and classify call transcripts, draft and compare outreach scripts, identify recurring objections, and automate reporting workflows. I treat AI outputs as inputs to a measured operating process rather than as final decisions. Each use case should have a quality-control step and be evaluated against business outcomes such as conversion, response time, and retention.

How would you establish SLAs across Performance Marketing, Lifecycle, Member Acquisition, and Member Success?

I would begin with a shared funnel map that identifies ownership, inputs, handoffs, expected response times, and success metrics for each stage. I would align leaders on a limited set of service commitments, document escalation paths, and publish a dashboard showing SLA adherence and downstream conversion impact. Regular reviews would focus on resolving systemic bottlenecks rather than assigning blame.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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:

  • Optimizing call performance: Own how members convert across AI-driven calls and human phone calls, refining scripts, follow-up cadence, and objection handling.
  • Coaching agents: Test what actually moves conversion and feed findings back to human agents and the teams they support.
  • Sequencing hand-offs: Decide where AI calls hand off to a person and where a person hands off to Lifecycle.
  • Building funnel dashboards: Maintain the end-to-end view of the demand funnel — lead to approved to booked to moved-in — primarily in Hex.
  • Closing reporting gaps: Surface stage-by-stage conversion, drop-off, and velocity without re-deriving data each time.
  • Driving retention outreach: Partner with Member Success to flag churn-risk changes and behavioral events, and proactively reach out before a member decides to leave.
  • Standing up interventions: Launch retention and transfer offers as caller campaigns or lifecycle text messages.
  • Fixing the stack: Bring order to lead routing, CRM hygiene, and experiment instrumentation, and set clear SLAs across Performance Marketing, Lifecycle, MA, and Member Success.

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

  • RevOps background: 5+ years in revenue operations, sales operations, growth operations, or funnel analytics, ideally in a marketplace, subscription, or high-volume consumer-sales environment.
  • AI fluency: A strong AI toolkit used daily to build reporting, analyze calls, draft and test scripts, and scale outreach.
  • Analytical rigor: Fluency in SQL or a BI tool such as Hex, Mode, or Looker, with comfort tying operational work to conversion, velocity, and cost.
  • Funnel instinct: Real operating experience with lead routing, calling operations, script and cadence testing, and agent coaching.
  • Cross-team coordination: Ability to hold many channels at once — from AI callers to affiliates to market launch — without losing the thread.
  • Strong communication: Excellent English communication skills to work daily with US-based teams and partners.
  • Marketplace experience (bonus): Background in marketplace, proptech, real estate, or two-sided consumer platforms.
  • Zero-to-one experience (bonus): Track record standing up a RevOps or sales-ops function from scratch, including instrumentation and cross-team SLAs.

The Interview Process:

  • Your application will be reviewed for possible next steps by a human being in the PeopleOps department.
  • If you meet eligibility requirements, the next step would be a video call with a member of the PeopleOps team for about thirty (30) minutes.
  • If warranted, the next step would be a video interview with our VP of Member Growth for forty-five (45) minutes.
  • If warranted, the final step would be a video panel interview with additional stakeholders for one (1) hour. For this interview, a candidate would participate in a campaign exercise to the panel for discussion.
  • If warranted, then we move to contract!

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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