Senior RevOps Analyst

Risk Ledger is developing a network of connected organisations, all working together to defend against cybersecurity attacks in the supply chain.

Organisations rely on us to establish trust, through sharing their security maturity and visualising the risks posed by their supply chain ecosystem. And we’re already trusted by customers like ASOS, British Airways, BAE Systems and the NHS.

We are putting together an amazing and talented team from a diverse set of backgrounds and skillsets to drive us towards our vision. Risk Ledger is built on the respect we have for one another and our users, united by our shared values and mission.

Every one of us is still learning: it’s how we grow as individuals. We’re curious. We’re ambitious. And we’re humble and honest. At Risk Ledger, we aim high to find the best solutions we can and always put our users first.

As a senior analyst on the Rev Ops team, you will become an integral driving force behind our Go-To-Market and Expansion focused teams at Risk Ledger.

With a 'can do' attitude, you will support day-to-day executional Rev Ops work and actively contribute to Rev Ops strategy, with a view to owning end-to-end projects rapidly. This opportunity is ideal for someone who excels when working cross-functionally across the Go-To-Market team, including Sales, Marketing, and Customer Success. You will play a vital role in supporting these teams by managing data, developing processes, utilising revenue tools, providing insights, and executing enablement tasks to help achieve our 2025 revenue and growth goals.

With a hands-on, technical approach and a strong curiosity, you will take the initiative to implement and drive meaningful changes directly. This role is ideal for someone with experience in an execution-focused Revenue Operations position or a similar role, looking to elevate their skills in a fresh and dynamic environment.

• Own CRM configuration and data reliability across the revenue organisation, with particular focus on our New Business growth engine (SDR, Marketing, AE) initially. You'll configure fields, automations, routing, permissions, and workflows that make our systems work better for the people using them every day.
• Clean, upload, deduplicate, and maintain data quality across our tech stack. You'll blend our CRM data with product usage and external sources to understand trends, conversion rates, and where our GTM motion is working or breaking down.
• Build and maintain reports and dashboards that stakeholders actually use for decision-making. You'll drive our quarterly review cadence, support forecasting and planning, and provide analytical support that moves the business forward.
• Bridge the gap between GTM teams and tooling. You'll spend time in discovery, understanding how people actually work before designing technical solutions that fit their workflows, not the other way around.
• Provide first-line support when revenue teams hit friction with processes or tools. You'll be the person they come to when something isn't working, and you'll fix it or elevate it appropriately.
• Enable teams through training sessions, documentation, and workshops that people will actually understand and remember. You've been in the seats they're sitting in, so you know how to communicate in ways that land.
• Support on territorisation, ICP tiering, and account segmentation using business logic and system configuration to route opportunities to the right teams at the right time.
• Become a power user of AI in GTM and tools such as Clay, orchestrating enrichment workflows and signals without needing custom code.

• 2-4 years in a Rev Ops, Sales Ops, Marketing Ops, or CS Ops role, or you've recently transitioned from an SDR, AE, or CSM position into operations and bring that operator-level understanding of what actually happens in the field.
• Strong enablement instincts, confident run training sessions, write documentation, and simplify complex processes into something actionable that your stakeholders will actually adopt.
• Solid data analysis skills using Excel or Google Sheets, including multi-table analysis and blending datasets. SQL knowledge is…