# Commercial Analyst at Ebury

> United Kingdom · Unspecified · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Aebury%3A5020371101 (read 2026-11-06).

## Facts (observed)

- Company: [Ebury](https://alderhq.app/companies/ebury)
- Location text: London; London
- Where it can be done from (inferred): United Kingdom (evidence: "Location: London; London")
- Posted: 2026-10-29 (9 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.eu.greenhouse.io/ebury/jobs/5020371101
- Skills listed (inferred): SQL, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (London, n 1852): p25 £45k, median £57k, p75 £73k

## Description (the employer's text)

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 and renewals.
- Experience working with BI/reporting tools (e.g. Sigma, Looker, Tableau, Power BI) is a plus.
- Excellent communication and presentation skills, with the ability to explain complex data clearly to non-technical stakeholders and senior leadership.
- Strong problem-solving and critical-thinking abilities, with high attention to detail and accuracy.
- Proactive, self-motivated, and comfortable managing multiple priorities independently.
- Collaborative mindset with proven success working across cross-functional teams.
- Familiarity with financial products and markets is desirable.
Why Ebury?

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aebury%3A5020371101 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.