Revenue Operations Senior Analyst
Quick Summary
Pipeline generation and conversion Revenue forecasting accuracy MRR, ARR, churn, retention, and expansion Partner with sales leadership to define, track,
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 qua
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
- April 27, 2026
Posting Health
- Days active
- 20
- Repost count
- 0
- Trust Level
- 28%
- Scored at
- April 27, 2026
Signal breakdown
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