Senior Data Analyst - Finance

Ebury's Data Analytics & Reporting team is seeking a Data Analyst to join the Treasury domain. The team develops and maintains Ebury's Data Platform, which supports internal decision making, monitors Treasury positions and risks, supports regulatory reporting obligations and enables commercial opportunities globally. Current projects include MtM valuations reconciliation with the Treasury reporting system, cash operational charges data analysis to reduce Treasury costs, liquidity data analysis for the ALM team, and building AI agentic workflows to automate routine data operations and decision support.

Responsibilities

Work closely with the Data Analysts, Analytics Engineers, Data Engineering, Treasury and Product teams; Model data in the collaborative data platform to perform critical Treasury data analysis and build reports and reconciliations for the Treasury domain; Manage end-to-end treasury solutions across all jurisdictions, from requirements gathering and building optimised data models to delivering reports to treasury stakeholders and auditors; Maintain and build dashboards and visualisations on the data platform using BI tools for Treasury teams to monitor reporting and controls

Requirements

4+ years of experience in Data/Business Analytics; Applied experience to Treasury or Finance is a plus; Advanced SQL skills - must be able to read and write complex SQL queries; Strong problem solving and analytical skills with excellent attention to detail; The ability to manage, organise and present data in a clear, concise and actionable format; Comfortable working in a fast-paced and demanding work environment; Track record of working autonomously with time management skills; Fluency in English

Nice to have

Experience with modern data stack tools (dbt, Google Cloud Platform including BigQuery and DataStudio, Sigma); Experience working with Python; Financial Services and Capital Markets experience (FX, Payments, Money Markets, Treasury Management, etc.)

Benefits

Competitive salary conditions; Private health insurance; Gympass and access to Meditopia; Support to progress your career in the Data & Analytics world; Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack; Flexible workplace environment; 23 days of annual leave plus your birthday off; Fun in-person off-sites and virtual get-togethers; Personal development including language courses