Ebury is a Global FinTech: we apply new technologies to enhance and automate financial services and processes. This allows small and medium-sized businesses to trade and transact internationally by eliminating boundaries related to more traditional procedures.
Founded in 2009, we are now positioned among the fastest-growing companies in the sector. Headquartered in London, we have more than 1000 staff covering over 50 nationalities (and counting!) working across more than 27 offices worldwide and serving more than 45,000 clients every day.
Hard work pays off: Ebury has just received a £350 million investment from Banco Santander and has won over 20 internationally recognised awards such as the Growing Business of the Year 2019: Larger Company (Turnover £50m+) and Financial Times: 1000 Europe's Fastest-Growing Companies (which we have been awarded twice: 2017 and 2019!).
None of this would have been possible without our proudest achievement: our great people. Enthusiastic, innovative and collaborative teams, always ready to disrupt and revolutionise the fast-paced Fintech sector.
Data Reporting Analyst - The Role
Ebury is looking to add a full-time Data Reporting Analyst to our award-winning Data Science and Analytics team in Madrid. The candidate will work with business stakeholders to gather requirements and will deliver insight solutions in the form of dashboards and reports.
Key Responsibilities Include
- Become knowledgeable in data sources and expected outputs in specific domains (including but not limited to Regulatory Reporting, FinCrime, Compliance, Operations)
- Preparing and validating data and reporting requirements in collaboration with business stakeholders
- Use SQL + Git + dbt to build new analyses and reports and support existing ones
- Developing, testing, maintaining and documenting dashboards (Data Studio) and self-service analytics platform (Looker)
- Resolving any relevant inquiries/issues related to data and reporting
- Seek to constantly improve, streamline and standardise processes, procedures, systems and tools
Skills and Requirements
- 1-2 years experience managing and querying large datasets using SQL
- Experience using Python to manipulate data - nice to have
- Use Python to manipulate data outputs into conformed schemas (.xml, .txt) - nice to have
- Fluency in written and spoken English and Spanish
- Clear and direct communication skills about complex, technical topics
- Track record of working autonomously with organisational and time management skills
- Ability to work under pressure to meet tight deadlines while maintaining high attention to detail
- Extreme ownership and accountability for work
- Experience using dbt to model business logic, a plus
- Experience working with BigQuery/Snowflake/Redshift, a plus
- Experience working in Financial Services, Capital Markets, a plus
We believe in inclusion. We stand against discrimination in all forms and have no tolerance for 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 because we want you and your uniqueness to help write our future.