Revenue Operations Senior Analyst
Quick Summary
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.
1. Revenue Operations (Core) Own and optimize core revenue processes across the funnel (Marketing → Sales → Customer Success).
Proven experience in Revenue Operations, Business Operations, or Analytics roles . Expertise in SQL and data analysis. Solid experience working with CRM systems (preferably Salesforce).
About the Role
~1 min readWe 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 min read- 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).
- 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
- 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.
- 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
~1 min read- 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
~1 min read- 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.
Location & Eligibility
Listing Details
- Posted
- April 6, 2026
- First seen
- April 6, 2026
- Last seen
- May 18, 2026
Posting Health
- Days active
- 41
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- May 18, 2026
Signal breakdown
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