Senior Revenue Operations Analyst

Reposted 5 Days Ago
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Mexico City, Cuauhtémoc, Mexico City, MEX
In-Office
Senior level
Consumer Web • Social Media • Software
The Role
The Senior Revenue Operations Analyst optimizes revenue processes, drives analytics, manages data systems, and partners with teams to improve performance and strategy.
Summary Generated by Built In
About the Role

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.

This role plays a key part in connecting revenue motions across Marketing, Sales, Customer Success, and Finance, ensuring high efficiency of processes, tools, and people.

The position requires on-site presence in Mexico City (hybrid model), with close collaboration across cross-functional teams in a fast-paced and constantly evolving environment.


Responsibilities1. Revenue Operations (Core)
  • 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.
  • Identify performance gaps and propose actionable recommendations to improve efficiency and growth.
  • Support quarterly and annual planning cycles (targets, capacity, quotas, and coverage).
2. Data & Analytics
  • Working with the Data Team to structure and maintain reliable datasets and reporting layers to support business decisions.
  • Translate business needs into data requirements and analytical frameworks.
  • Ensure data consistency across systems (CRM, Finance, Marketing, Product).
  • Build and delivery data insights with analytics engineers of Data team to sales leadership 
3. Systems & Tools
  • Act as a key stakeholder in the evolution and governance of the RevOps tech stack, including:
    • CRM (e.g., HubSpot or Salesforce)
    • Marketing platforms
    • Financial and billing systems (e.g., SAP)
    • BI tools (Looker, Power BI, Tableau)
  • Ensure proper usage, adoption, and data quality across systems.
  • Identify and implement automation opportunities to improve scalability and efficiency.
  • Collaborate with Data Engineering on tools such as Databricks and Google Cloud when needed.
4. Collaboration & Business Partnership
  • Act as a strategic partner to Sales, Marketing, Customer Success, and Finance leaders.
  • Translate business challenges into structured analyses and scalable solutions.
  • Facilitate alignment across teams on definitions, processes, and performance metrics.
  • Support executive communication with clear, structured, and data-driven insights.
  • Operate effectively in a dynamic, high-growth, and ambiguous environment.

 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).
  • Basic knowledge of Python and data workflows is a plus.
  • Strong understanding of SaaS metrics and revenue models (MRR, ARR, LTV, CAC, churn).
  • Experience with forecasting, pipeline management, and performance tracking.
  • Ability to connect data with business context and drive actionable insights.
  • Structured thinking and strong problem-solving skills.
  • Strong communication skills with both technical and business stakeholders.
  • Ability to operate in fast-changing and ambiguous environments.
  • High attention to detail combined with a strategic view.
  • Results-oriented with focus on business impact.
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.

Skills Required

  • 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)
  • Basic knowledge of Python and data workflows is a plus
  • Strong understanding of SaaS metrics and revenue models (MRR, ARR, LTV, CAC, churn)
  • Experience with forecasting, pipeline management, and performance tracking
  • Ability to connect data with business context and drive actionable insights
  • Structured thinking and strong problem-solving skills
  • Strong communication skills with both technical and business stakeholders
  • Ability to operate in fast-changing and ambiguous environments
  • High attention to detail combined with a strategic view
  • Results-oriented with focus on business impact
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The Company
HQ: Belo Horizonte, Minas Gerais
1,442 Employees
Year Founded: 1999

What We Do

We connect people and companies in intelligent chat on the main messaging channels that sell, serve, solve and surprise. For this, we combine the best of technology and human knowledge in our company and on the Blip platform, always anticipating and creating trends. Want to know more about Blip? Access our website!

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