Senior Revenue Operations Analyst

About the client Our client is a global SaaS company building field service management software for trades and service businesses around the world. It runs on a subscription model and has teams in Australia, the United Kingdom and North America.

About the role

The Senior Revenue Operations Analyst partners with Sales and Revenue leaders, providing timely analytics, business insights and operational improvements that drive performance against key KPIs. You will be a trusted business advisor to Revenue and Data Engineering leaders, bringing operational rigor to go-to-market planning and execution.

What you'll do

• Deliver timely sales analytics, including daily and weekly performance against targets.
• Track and report on core SaaS funnel metrics: ARR snowball, MQLs, conversion, pipeline and churn.
• Work with technology and data teams to build automated reporting and operational dashboards from the data warehouse (Big. Query) and BI tools.
• Ensure system integrity in Salesforce and recommend improvements to efficiency, process consistency and reporting.
• Maintain the analytics behind monthly and quarterly business reviews for the Executive Leadership Team.
• Identify operational issues and work across teams to design solutions that help revenue teams run more smoothly. Tech environment Salesforce
• Hub. Spot
• Google Big. Query
• SQL
• Excel / Google Sheets
• BI tools
• AI-assisted analytics Requirements Required - 3–5 years of experience in revenue operations, sales operations or a related analytical role.
• Bachelor's degree in business, finance, analytics or a related field.
• Power-user Salesforce experience: building reports, dashboards and list views, maintaining CRM data integrity and recommending process and reporting improvements.
• Strong data and analytics skills, including advanced Excel / Google Sheets (VLOOKUP, SUMIFS, COUNTIFS, pivot tables) and SQL.
• Understanding of SaaS reporting metrics and methodologies such as ARR snowball, funnel metrics and retention / churn.
• Familiarity with platforms such as Salesforce, Hub. Spot and Big. Query.
• Comfort working with data engineering to validate, document and maintain trusted data definitions and pipelines in the data warehouse.
• Excellent communication skills to turn complex data into clear, executive-ready insights, with advanced English.
• High attention to detail, strong ownership and the ability to manage multiple priorities in a fast-paced environment. Strongly preferred
• Experience with AI-assisted analytics tools (e.g., AI-generated SQL, Claude Code or similar).

Benefits

• Permanent contract (contrato a término indefinido) with all legal benefits
• Competitive salary
• Private health insurance (medicina prepagada)
• Relocation bonus to Medellín
• On-site role in Medellín with parking