Senior Analyst, Customer Success

Remitly•Seattle, WA

1d•Hybrid

About The Position

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: As the Senior Data Analyst, Customer you will report to the Sr Analytics Manager, Customer Success. You will partner with program and product managers, engineers, and fellow analysts. You will become an expert in support experiences at Remitly - what is the customer experience, why do they need support, what support did they receive, the data we produce along the way. You will use this expertise, your analytical talents, and your partnerships to help Remitly both scale our business and deliver better support experiences to customers.

Requirements

Degree in Statistics, Mathematics, Computer Science, Operations Research, Engineering, Economics, or related fields.
7+ years of relevant experience in an analytics role
Experience modeling complicated scenarios with data then estimating their relative size and impact
Experience managing analytics projects from creation to delivery, including developing structured solutions and driving business outcomes
Experience building dashboards in Tableau or other relevant tools
Fluency in SQL, data modeling, and other data science techniques.
Experience in statistical experimentation methods, such as A/B testing and experimental design
Demonstrated familiarity in using AI tools such as Claude, Gemini, and/or ChatGPT to accelerate problem-solving, automate routine data tasks, and generate insights for complex business problems.

Responsibilities

Become an expert in customer support experiences, defining and measuring success
Partner closely with Product Managers and Program Managers to generate insights and analyses that influence both product and process design
Effectively communicate metrics, commentary, and recommendations to multiple levels of stakeholders across our operational footprint
Simultaneously and independently manage multiple strategic initiatives while ensuring deadlines are met and the desired business impact is achieved