Provide data analysis support to the Product team (4 PMs), including product usage analytics, customer segmentation, and feature adoption insights
Build and maintain analytical views that support product-led growth decisions
Support the Head of Go-To-Market with performance analytics, campaign analysis, and market insights
Develop and maintain data models that serve multiple functions from the centralised FrankieBrain data layer
Identify process inefficiencies and propose automation or optimisation solutions
Document processes, support procedures, and data dictionaries for all RevOps tools and systems
Stay current with best practices in revenue operations, CRM management, AI tooling, and data analytics
Requirements
3+ years in Revenue Operations, Sales Operations, Data Analysis, or a related analytical role in SaaS or fintech
Strong proficiency in CRM systems (HubSpot strongly preferred) including workflows, reporting, and data management
Data analysis skills: SQL required, Python/R preferred; experience with data visualisation tools (Looker, Tableau, or equivalent)
Demonstrated AI-native working style: uses AI tools (coding assistants, analysis tools, automation platforms) as core workflow infrastructure, not occasional aids
Experience with financial systems integration (Xero, QuickBooks, or equivalent) is a plus
Comfort working with APIs, data pipelines, and integration platforms
Strong attention to detail, particularly around financial data (commissions, revenue, contract values)
Ability to work cross-functionally with Product, Sales, Marketing, and Finance stakeholders
Proactive problem solver who can own workstreams independently while collaborating closely with senior leadership
Experience with commission calculation or sales compensation processes is a strong plus.