Data Analyst (Compliance, 12 Month Fixed Term Contract)

Join Remitly, a leading digital financial services provider, as a Data Analyst on a 12-month fixed-term contract. In this role, you will support the end-to-end data lifecycle, transforming defined business problems into clean, validated data assets. You will work closely with a Senior Analyst and Manager, bridging the gap between raw data and business answers. Your responsibilities will include documenting user requirements, creating data dictionaries, mapping existing business processes, writing SQL queries, performing exploratory data analysis, running user acceptance testing, building data visualizations, and monitoring existing dashboards. This position is based in London and offers a range of benefits, including generous paid time off, continuing education support, and opportunities for community involvement.

• Assister aux ateliers avec les équipes commerciales et de conformité pour documenter les exigences des utilisateurs, les règles commerciales et les exigences en matière de reporting.
• Créer et maintenir des dictionnaires de données et des documents de cartographie source-à-cible pour garantir que tout le monde parle le même "langage des données".
• Écrire et optimiser des requêtes SQL modulaires pour transformer les données brutes en tables "prêtes pour l'analyste".
• Clear and concise written communication, being able to explain a data discrepancy to a stakeholder without overwhelming them with technical jargon
• 2–4 years of experience in data analytics, business intelligence, or a similar technical-functional role
• Ability to take a structured task and identify the necessary logic, filters, and edge cases (e.g., how to handle partial months) independently
• Demonstrated experience building and publishing reports using modern BI tools; experience with Tableau, Mode, or PowerBI strongly preferred
• Enthusiasm for using AI (LLMs) to speed up SQL writing, debug code, and draft initial documentation templates
• Basic understanding of data warehousing concepts (Star Schema, Fact vs. Dimension tables)
• Strong SQL and/or Python or R skills; ability to manipulate and handle large volumes of data, work across data from disparate sources and environments, perform data transformation with ease, and debug others' code with minimal guidance