Job Description:
At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money— we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career—we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.
About the Role
The Sr. Data Analyst, Compliance, is a high-performing individual contributor within the broader analytics team. You will be responsible for bridging the gap between compliance business and technology by translating requirements into well-defined and concrete data products. You will own the "Requirement-to-Reporting" lifecycle, ensuring business requirements are robust and detailed and data engineers build the right foundations, balancing data governance with business flexibility, and delivering the final data products with reliability, predictability, and accuracy.
The Lifecycle You Will Own:
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Discovery: Understanding the "Why" behind the business request.
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Mapping: Identifying the "Where" (data sources) and the "Gaps."
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Specs: Writing the "How" for the Data Engineers.
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Validation: Testing the "Truth" of the data through UAT.
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Delivery: Visualizing the "So What" for stakeholders.
Key Responsibilities
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Strategic Translation: Partner with compliance leaders and stakeholders to understand objectives and translate them into Remitly business language and further translate them into detailed functional/technical specifications.
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Metric Definition: Lead the definition of North Star metrics and KPIs, ensuring alignment across different departments to prevent "data silos" or conflicting definitions.
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Documentation: Own the creation of source-to-target mappings, logic flowcharts, and business requirement documents (BRDs).
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Data Scouting: Identify internal and external data sources required to fulfill business needs; perform exploratory data analysis to highlight data gaps or quality issues.
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Engineering Partnership: Work hand-in-hand with Data Engineer