Commercial Analyst

Job description

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Commercial Analyst London Victoria – 4 days in the office, 1 day work from home As a Commercial Analyst at Ebury London, you will play a critical role in driving efficiency and performance across the revenue-generating functions of the business. You'll partner closely with Sales, Marketing, and Data leadership, using data and analytics to optimise processes, improve forecasting accuracy, and support strategic decision-making. We're looking for a candidate with a few years of experience in a similar analytics or revenue operations role, who is confident working with data and translating it into clear, actionable recommendations for senior stakeholders. Key Responsibilities Revenue Analytics: Collect, analyse, and interpret data across the revenue funnel to identify trends, risks, and opportunities. Build and maintain KPIs and dashboards that give leadership real-time visibility into pipeline health, conversion rates, and revenue performance. Process Optimisation: Assess end-to-end revenue processes — from lead generation through to renewal — and identify bottlenecks or inefficiencies. Design and implement improvements to pipeline management, forecasting, and reporting workflows. Forecasting & Reporting: Own regular reporting on revenue performance, pipeline metrics, and forecasts. Partner with Finance and Sales leadership to improve forecast accuracy and provide insights on growth opportunities, segmentation, and cross-sell/up-sell potential. CRM & Systems Ownership: Maintain and continuously improve the CRM and related revenue tech stack, ensuring data integrity and consistency. Train teams on best practices and drive adoption of new tools and processes. Automation & Tooling: Identify opportunities to automate manual, repetitive tasks across revenue workflows. Work with technology and data teams to implement scalable solutions. Strategic Support: Support cross-functional projects and strategic initiatives by providing data-driven analysis and recommendations. Work closely with Sales, Marketing, Finance, and Product to align revenue operations with wider business goals. AI-Enabled Analysis: Comfortable using AI tools (e.g. Gemini, Claude, or similar) to speed up analysis — for tasks like summarising data, drafting reports, or building quick models/scripts. Experience applying AI/LLM tools to streamline repetitive RevOps workflows, such as data cleaning, CRM hygiene, or generating first-pass insights from large datasets. Qualifications and Skills Bachelor's degree in business, finance, economics, or a related field; Master's degree a plus. 2–4 years of experience in a revenue operations, sales operations, commercial analytics, or similar analytical role, ideally within financial services or a related industry. Strong analytical skills and proficiency in data tools such as Excel, SQL, and CRM systems (Salesforce or similar). Solid understanding of the revenue lifecycle, from pipeline management to forecasting an