Director of Revenue Operations at Planday driving commercial growth and optimizing operational strategies. Lead a high - performing Revenue Operations team to enhance business performance and efficiency.
About the role
- Revenue Operations Manager optimizing FrankieOne's revenue operations engine. Execute commission processes, build dashboards and provide data analysis support across functions.
Responsibilities
- Own the end-to-end commission calculation and payment process, ensuring accuracy, timeliness, and transparency
- Maintain and iterate on existing RevOps tools: Deal Calculator, ROI Calculator, Indi Coaching Platform, Scoping App, and Target Accounts Module
- Manage HubSpot optimisation, data hygiene, workflows, and integration support
- Execute financial tracking and reporting integrations between HubSpot, Xero, and internal systems
- Build and maintain dashboards and reports for sales leadership, pipeline reviews, and Monday morning meetings
- Execute data extraction, cleaning, and pipeline work as part of the FrankieBrain data lake build
- Manage marketing campaign tracking and lead-to-revenue attribution reporting (1/3/6 month cohorts)
- 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.
Benefits
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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