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.
Senior Data Analyst - Treasury
Location: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week
Ebury’s strategic growth plan would not be possible without our Data Analytics & Reporting team and we are seeking a Senior Data Analyst to join our Treasury domain!
Our data mission is to develop and maintain Ebury’s Data Platform and serve it to the whole company. This platform is the backbone of Ebury: it supports internal decision making, allows us to monitor our Treasury positions and risks, comply with regulatory reporting obligations and enables commercial opportunities globally.
The Data team works closely with Treasury, Product and Tech teams to coordinate and implement data analysis initiatives helping the Cash management, ALM and Treasury Reporting teams. Some of the projects we are currently working on include: MtM valuations reconciliation with our Treasury reporting system to ensure completeness and accuracy in our Financial statements, cash operational charges data analysis to reduce Treasury costs, liquidity data analysis to help ALM team manage daily liquidity obligations, and building AI agentic workflows to automate routine data operations and decision support, and many many more!
As part of the team you will- Work closely with the rest of the Data Analysts, Analytics Engineers, Data Engineering, Treasury and Product teams
- Be responsible for modelling data in our collaborative data platform to perform critical Treasury data analysis and build reports and reconciliations for the Treasury domain
- Design, build, and maintain robust AI agentic workflows and analytical tools to automate and enhance Treasury data processes and decision-making
- Manage end-to-end treasury solutions across all jurisdictions of the company from requirements gathering, building optimised data models and delivering the reports to our treasury stakeholders and auditors
- Maintain and build dashboards and visualisations on the data platform using our BI tools for Treasury teams to monitor reporting and controls
- 6+ years of experience in Data/Business Analytics - applied to Treasury or Finance is a plus!
- Advanced SQL skills - must be able to read and write complex SQL queries
- Experience working with AI and building agentic workflows
- Experience with our modern data stack tools (a plus!) We use dbt, Google Cloud Platform (BigQuery, DataStudio), Sigma
- 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
- Financial Services and Capital Markets Experience (FX, Payments, Money Markets, Treasury Management, etc) is a good plus!
- 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
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About us
Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.
Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team.
At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.
The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.
We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.
Skills Required
- 6+ years of experience in Data/Business Analytics
- Advanced SQL skills
- Experience working with AI and building agentic workflows
- Experience with modern data stack tools like dbt, Google Cloud Platform
- Strong problem-solving and analytical skills
- Fluency in English
What We Do
About Ebury® Ebury is a Fintech company specialised in international payments, collections, and foreign exchange services. It offers financial solutions aimed mainly at SMEs and midcaps. Ebury offers foreign exchange activity in over 130 currencies - for both major and emerging markets - as well as cash management strategies, trade finance, and foreign exchange risk management. Founded in London in 2009 by Spanish engineers Juan Lobato and Salvador García, the company has grown its global market presence to a network of 31 offices in 21 countries and more than 1,300 employees. Throughout its history, the company has received more than 20 international awards, including the Financial Times 1000 Europe's fastest-growing companies 2020 and The Sunday Times Tech Track 100. All these recognitions place Ebury as one of the leading European financial technology companies. ebury.com
