Data Analyst – Regulatory Reporting

Role Overview

Ebury’s Data Analytics & Regulatory reporting team seeks a Data Analyst to support regulatory compliance by ensuring accurate and timely submission of reports to stakeholders and auditors. The team works closely with Finance, Compliance, and Product to coordinate and automate reporting in multiple jurisdictions.

What You Will Do

As a Data Analyst, you will work closely with other Data Analysts, Analytics Engineers, Data Engineering, Compliance Officers, and the Regulatory Reporting team. You will be responsible for modelling data in our platform to build critical regulatory and compliance reports, managing reporting processes, and contributing to the automation and enhancement of regulatory reporting processes.

Why It Might Be a Fit

We are looking for a collaborator who wants to help transform how businesses operate globally. You will have the opportunity to work in a collaborative environment, contribute to a new data infrastructure built on a modern data stack, and receive support to progress your career in the Data & Analytics world.

Requirements

• 4 years Experience in Data/Business Analytics – applied to Finance or Compliance is a plus.
• Advanced SQL skills – able to read and write queries across complex datasets.
• Experience with our modern data stack tools: dbt, Google Cloud BigQuery, Looker, Sigma, Git.
• Strong problem-solving and analytical skills with excellent attention to detail.
• Experience working with Python.
• Previous exposure to Regulatory or Financial Reporting.
• Knowledge of Financial Services or Capital Markets (Payments, FX, Treasury, Accounts) is desirable but not mandatory.
• Ability to manage, organise and present data in a clear, concise and actionable format
• Fluency in English (Spanish, a plus)

Benefits

• Competitive salary conditions
• Private health insurance, gympass.
• Support to progress your career in the Data & Analytics world
• 23 days of annual leave plus your birthday off and all the Madrid public holidays.
• Fun in-person off-sites and virtual get-togethers
• Personal development including language courses

Tagged as: Data Analysis