Job Description:

Remitly is on a mission to transform the lives of immigrants and their families by providing the most trusted financial products and services on the planet. Since 2011, we have been tirelessly delivering on our promises to immigrants sending their hard earned money home. Today, we are reimagining international payments at scale and building new products to create deeper relationships with our customers and their loved ones across the globe. Join over 2,700 employees across 10 offices who are growing their careers while having a positive impact on people globally.

About the Role:

We are looking for a highly skilled and motivated Analytics Engineer to join our dynamic Data Reconciliation Team. As an Analytics Engineer, you will work with cloud-based application deployment platforms, including Forge, and various Python applications. Leveraging your strong Python coding skills, you will play a crucial role in developing the core service that provides data to the data reconciliation team. You will be responsible for building the data models that underpin our critical operational and strategic data-driven decisions. You will report to the Manager of Data Analytics.

You Will:

• Collaborating with stakeholders to gather business requirements, outline measurable analytics outcomes, and create comprehensive documentation outlining the product specifications.

• Create and and support analytical models that solve complex business problems

• Assists in solution design efforts (i.e. analysis, data warehouse design, architecture) and understands the data warehouse or data marts implementation related to BI.

• Identifies ways to improve data reliability, efficiency, and quality of data management required for building BI applications and reports.

• Communicates technical concepts to non-technical audiences both in written and verbal form.

• Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, code reviews, source control

• Familiarity with CI/CD concepts for streamlined deployment processes.

You Have:

• 3+ years as an analytics engineer or equivalent

• Knowledge of logging, error handling, and familiarity with CI/CD concepts.

• Strong communication skills and ability to collaborate effectively with stakeholders.

• Experience in dimensional data modeling, ETL design, implementation and maintenance

• Expert in SQL, git, and a programming language (ie Python, Java, etc)

• Experience with Airflow, Snowflake/Redshift, Spark

• Experience with analytical model development and deployment processes

• Familiarity with AWS products and services

Our Benefits

• Unlimited paid time-off

• Health, dental, and vision benefits + 401k plan with company matching

• Company contributions to your HSA or FSA plan, if you choose one

• Employee Stock Purchase Plan (ESPP) available for eligible employees

• Continuing education and corridor travel benefits

Remitly is an Equal Opportunity Employer. Equal employment opportunity has been, and will continue to be, a fundamental principle at Remitly. We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.