Senior Analyst, Customer Success

Remitly•Seattle, WA

12h•Hybrid

About The Position

Remitly is seeking a Senior Data Analyst, Customer to help scale its business and improve customer support experiences. The role reports to the Sr Analytics Manager, Customer Success and partners with program and product managers, engineers, and other analysts. The analyst will develop expertise in Remitly’s customer support experiences, including the customer experience, reasons customers seek support, the support they receive, and the data generated throughout those interactions. The role uses analysis and cross-functional partnerships to inform business decisions and deliver better support experiences. This position is subject to Remitly’s current hybrid-work expectations: employees work onsite Tuesday through Thursday each week. Additional onsite attendance may be required based on business needs, and the Company may change its hybrid-work expectations.

Requirements

Degree in Statistics, Mathematics, Computer Science, Operations Research, Engineering, Economics, or a related field.
7+ years of relevant experience in an analytics role.
Experience modeling complicated scenarios with data and 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 with statistical experimentation methods, such as A/B testing and experimental design.
Demonstrated familiarity with 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 and define and measure success.
Partner with Product Managers and Program Managers to generate insights and analyses that influence product and process design.
Communicate metrics, commentary, and recommendations effectively to stakeholders at multiple levels across the operational footprint.
Independently manage multiple strategic initiatives at the same time, meet deadlines, and achieve intended business impact.
Manage analytics projects from creation to delivery, develop structured solutions, and drive business outcomes.
Use analytical expertise and partnerships to help scale the business and improve customer support experiences.