Data Analyst
ExternalPrepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
About the role
The Customer Success team at Remitly is dedicated to earning lifetime loyalty and trust from our customers by promptly addressing their questions and resolving issues. As a Data Analyst II on this team, you will collaborate with operations leaders and data analytics engineers to produce metrics, identify issues and uncover the underlying reasons, highlight opportunities for broad-reaching improvements, and make recommendations that lead to meaningful business solutions and operational enhancements. The quantitative insights you provide will have an outsized impact on the business. You Will: Provide independent analytical support for a large, multi functional group spanning multiple departments and countries, all focused on delivering a great customer experience. Measure the effectiveness of operational processes, assessing the effort required by customers and agents. Uncover relevant insights to guide impactful improvements in tools and operational processes. Present complex analyses and recommendations to both technical and non-technical audiences. Investigate emergent issues and model the potential impact of future projects. Challenge existing processes by asking "Why?" and viewing unexpected data outcomes as opportunities to explore and improve processes. Explain the methods and logic behind your analyses, validate your results, measure the impact and advocate for implementing your recommendations with data-backed evidence. You Have: A Bachelor's degree in a technical, business, or quantitative field (e.g., Computer Science, Engineering, Business, Statistics, or a related discipline). 3+ years of relevant experience in an operational analytics role. Knowledge of data modeling, ETL processes, and data warehousing concepts. Familiarity with basic statistical techniques and experience modeling complex scenarios with data, estimating their relative size and significance. Proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI.