Job Description:About the Role: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 up to 3 days per week within the Seattle Metropolitan area, based on manager approval.
You Will:- 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.
You Have:- Position requires a Master's degree in Data Science, Business Analytics, Information Systems, or a related quantitative or computing field, and 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, Power BI, 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.
Compensation Details. The starting base salary range for this position is typically $163,322.00 -$170,000.00. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.
#LI-DNI #FB-DNI #IN-DNI #TW-DNI #GD-DNIOur 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
