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3 дня назад

Senior Revenue Operations Analyst

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior Revenue Operations Analyst: Driving, scaling, and optimizing revenue performance to support strategic decision-making with an accent on connecting revenue motions across Marketing, Sales, Customer Success, and Finance. Focus on improving efficiency and growth, data consistency across systems, and acting as a strategic partner to leaders.

Location: On-site presence in Mexico City (hybrid model)

Company

We are looking for a Senior Revenue Operations Analyst to join our Revenue Operations team, responsible for driving, scaling, and optimizing revenue performance to support strategic decision-making.

What you will do

  • Own and optimize core revenue processes across the funnel (Marketing → Sales → Customer Success).
  • Drive visibility and consistency across key metrics such as pipeline generation and conversion, revenue forecasting accuracy, MRR, ARR, churn, retention, and expansion.
  • Partner with sales leadership to define, track, and evolve strategic KPIs and revenue targets.
  • Structure and maintain reliable datasets and reporting layers to support business decisions.
  • Act as a key stakeholder in the evolution and governance of the RevOps tech stack.
  • Act as a strategic partner to Sales, Marketing, Customer Success, and Finance leaders.

Requirements

  • Proven experience in Revenue Operations, Business Operations, or Analytics roles.
  • Expertise in SQL and data analysis.
  • Solid experience working with CRM systems (preferably Salesforce).
  • Experience with BI tools (Looker, Power BI, Tableau, or similar).
  • Familiarity with Google ecosystem (BigQuery, Google Sheets).
  • Strong understanding of SaaS metrics and revenue models (MRR, ARR, LTV, CAC, churn).

Nice to have

  • Experience in high-growth SaaS environments.
  • Previous exposure to quota planning, compensation, or capacity models.
  • Experience working in international teams.
  • Familiarity with tools like Databricks or modern data stacks.
  • Advanced English is a plus.

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