AI-Enabled Revenue Analyst

ebury anz

Greater London

Hybrid

GBP 45,000 - 65,000

Full time

9 days ago
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Benefits offered by this job

Competitive starting salary
Annual discretionary bonus
Mentorship from experienced managers
Hybrid work arrangement

Job summary

Ebury is seeking a Commercial Analyst in London (Victoria) with hybrid working pattern (4 days in the office, 1 day remote). The role focuses on revenue analytics, forecasting, and process improvements across Sales, Marketing and Data leadership.

You will partner with Finance and Product to translate data into actionable insights for senior stakeholders, build dashboards and optimise revenue workflows using AI-enabled analysis where appropriate.

Qualifications

  • 2–4 years of experience in revenue operations, sales ops or commercial analytics.
  • Bachelor's degree in business, finance, economics or related field; Master's preferred.
  • Strong analytical skills with proficiency in Excel, SQL and CRM systems.
  • Experience with BI/reporting tools (Sigma, Looker, Tableau, Power BI) is a plus.

Responsibilities

  • Revenue Analytics: collect, analyse and interpret data across the revenue funnel to identify trends and opportunities.
  • Process Optimisation: assess end-to-end revenue processes and implement improvements to pipeline management and reporting.
  • Forecasting & Reporting: own regular revenue forecasts and provide insights to leadership.
  • CRM & Systems Ownership: maintain and improve CRM and revenue tech stack, train teams.
  • Automation & Tooling: identify opportunities to automate repetitive tasks across revenue workflows.
  • Strategic Support: support cross-functional projects with data-driven analysis.

Skills

Revenue analytics
Data storytelling
Stakeholder communication
Analytical thinking

Education

Bachelor's in business/finance/economics
Master's degree a plus

Tools

Excel
SQL
CRM (Salesforce or similar)
BI tools (Sigma/Looker/Tableau/Power BI)

Job description

Ebury is seeking a Commercial Analyst in London (Victoria) with hybrid working pattern (4 days in the office, 1 day remote). The role focuses on revenue analytics, forecasting, and process improvements across Sales, Marketing and Data leadership.

You will partner with Finance and Product to translate data into actionable insights for senior stakeholders, build dashboards and optimise revenue workflows using AI-enabled analysis where appropriate.

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