[Hiring] Analytics Engineer @Remitly

Role Description

Under the supervision of the Manager, Reconciliation BI Analytics, the Analytics Engineer will lead mission-critical data engineering initiatives that support Remitly’s Non-Fraud Loss (NFL) program, enabling loss detection, attribution, and reduction across products and geographies. Telecommuting is available from anywhere in the U.S. based on manager approval.

• Design and build reliable, scalable ETL pipelines and unified data workflows, including automated tagging, reporting logic, and core semantic-layer infrastructure.
• Architect dimensional data models that support self-service analytics, ensure consistency across datasets, and scale with evolving business needs.
• Develop end-to-end analytics and dashboard solutions, from backend data transformations to intuitive front-end visualizations, using tools such as Tableau or Mode and applying strong UX best practices.
• Ensure data integrity, performance, and governance across BI assets through structured testing, documentation, and quality-assurance processes.
• Expand analytics and reporting capabilities to new products and program requirements by collaborating with cross-functional teams to design and refine reporting logic.
• Support and train business users to strengthen data fluency, encourage BI tool adoption, and promote effective use of analytics products.

Qualifications

• Master’s degree in Data Science, Business Analytics, Information Systems, or a related quantitative or computing field.
• 3 years of experience with business interface development, end-to-end analytics engineering, and quantitative product data analysis.
• 3 years of experience with using SQL to design performant, reusable data models.
• 3 years of experience with designing and implementing scalable data pipelines and reporting systems for high-volume, business-critical use cases, including automation of tagging and reporting logic.
• 3 years of experience with applying product-level data analysis to reduce operational lift and enable real-time monitoring at scale.
• 3 years of experience with delivering actionable insights to leadership through intuitive, scalable dashboards, including optimization of dashboard performance.
• 3 years of experience with utilizing BI and analytics tools including AWS Redshift, AWS QuickSight, AWS SageMaker, AWS Glue, Git, PowerBI, Tableau.
• 3 years of experience with conducting A/B testing and causal inference analysis.
• 3 years of experience with working with big-data and programming tools such as Hadoop, Hive, Java, Python (including Scikit-Learn and SciPy), Spark, and R to build machine-learning or advanced analytical solutions.

Requirements

• The starting base salary range for this position is typically $163,322.00 - $170,000.00 per year.
• In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan.

Benefits

• Flexible paid time off
• Health, dental, and vision + 401k plan with company matching
• Paid parental, medical, military and family care leave
• Mental Health & Family Forming Benefits
• Employee Stock Purchase Plan (ESPP)
• Continuing education and travel benefits