Revenue Operations Senior Analyst

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.

Responsibilities

1. 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.