RevOps Performance Analyst

About Pleo

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.

The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.

Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.

About the role

We're looking for a RevOps Performance Analyst to join our Revenue Operations team at Pleo. In this role, you'll help bridge the gap between raw data and strategic execution and be part of the GTM engine as we scale our automated spend management solutions across Europe. If you're excited about turning ambiguity into actionable insights and are passionate about FinTech and data-driven growth, then this is the opportunity for you!

Who you'll be working with and reporting to

You'll report to our Manager, Revenue Operations and work closely with teams in Marketing, Sales and Customer Success. Our team of RevOps specialists is highly collaborative and dedicated to optimising the entire revenue lifecycle. You'll also have the chance to partner with teams across Data Engineering and Finance to ensure a single source of truth for all company-wide KPIs

What you'll be doing

As a RevOps Performance Analyst, you will:

Create holistic insights across the entire revenue funnel (Marketing, Sales, and Customer Success) to identify bottlenecks and conversion opportunities.  Interpret ambiguous GTM questions and translate them into measurable metrics and analytical approaches.

Develop and maintain automated dashboards that act as the "Single Source of Truth" for GTM KPIs, including CAC, LTV, Net Revenue Retention (NRR), and pipeline velocity.

Challenge or refine requests when definitions, logic, or business relevance are unclear. Recommend improved metrics or analytical approaches when they better address the underlying business need.

Design analytics data models and tables to ensure data integrity across the tech stack (CRM, Billing, BI tools), ensuring all data is stored and transferred securely.  Identify the correct system of record and reconcile discrepancies across sources. Partner with Data & Analytics when data engineering or architecture support is required.

Support senior management and our C-Level stakeholders with data-driven recommendations on resource allocation and GTM strategy; highlighting risks, trade-offs, and expected impact.

Build and continuously improve predictive models for sales forecasting and churn propensity to provide actionable forward-looking insights.

Analyse the impact of key variables in the sales process—such as discounting behaviours, lead routing efficiency, and promotion effectiveness—to drive operational excellence.

What you bring

You'll thrive in this role if you have:

A solid understanding of SQL, data modeling and predictive statistical techniques

Strong communication skills and the ability to translate messy business questions into clean, measurable metrics

A passion for challenging the status quo and refining logic when business relevance is unclear

Excellent time management and the ability to prioritise high-impact tasks for senior leadership

Experience with SaaS metrics (NRR, Gross Margin, Magic Number)