Summary
Join Flywire as a Sr. Analytics Engineer and bridge the gap between Data Engineering and Analytics. You will gather and document complex business requirements, translating business needs into technical concepts and becoming a subject matter expert. Responsibilities include designing and implementing data models, developing SQL transformations, building data pipelines, implementing data quality checks, and enabling self-service analytics. You will work with various technologies including cloud data warehouses, dbt, Airflow, and BI tools. Flywire offers competitive compensation, stock options, a global induction program, wellbeing programs, and talent development opportunities.
Requirements
- Bachelor Degree in Economics, Mathematics, or Computer Science
- 5+ years of experience in an Analytics Engineering role
- Strong proficiency in SQL
- Strong proficiency with dbt
- Strong in with Modeling techniques: Vault 2.0, 3NF, Dimensional Modeling, etc
- Experience with cloud data warehouses (BigQuery, Snowflake, Redshift, Databricks)
- Experience with git and CI/CD deployments
- Experience with Python and Docker
- Ability to communicate and follow up with internal stakeholders in a timely manner and excellent attention to detail
Responsibilities
- Gather and document complex business requirements translating business needs into technical concepts
- Become a subject matter expert to support all business segments in defining data products
- Design and implement robust, scalable, and reusable data models using best practice modeling techniques (Conceptual, Logical, Physical) within the data warehouse
- Develop and maintain complex SQL transformations to clean, aggregate, and enrich data, turning it into analysis-ready datasets leveraging dbt
- Optimize existing data models and queries for performance, cost-efficiency, and maintainability
- Build and maintain reliable data pipelines in collaboration with data engineering to move data from source systems and then transform it into curated datasets
- Utilize orchestration tools (e.g., Airflow) to schedule, monitor, and manage data transformation workflows
- Manage and support our dbt environment and workflows
- Implement data quality checks and validation processes to ensure the reliability and accuracy of data
- Define and enforce data governance best practices, including data definitions, lineage, and access controls
- Curate and prepare datasets specifically designed for consumption by data analysts, business users, and data scientists
- Develop and maintain semantic layers that provide a consistent and easy-to-understand view of key metrics and dimensions
Preferred Qualifications
- Experience with dbt-Elementary or Great Expectations is preferred
- Experience with dbt-Osmosis or Great Expectations is preferred
- Experience with BI Tools (Looker or Preset) is a plus
Benefits
- Competitive compensation, including Restricted Stock Units
- Employee Stock Purchase Plan (ESPP)
- Flying Start - Our immersive Global Induction Program (Meet our Execs & Global Teams)
- Wellbeing Programs (Mental Health, Wellness, Yoga/Pilates/HIIT Classes) with Global FlyMates
- Competitive time off including FlyBetter Days to volunteer in a cause you believe in and Digital Disconnect Days!
- Great Talent & Development Programs (Managers Taking Flight β for new or aspiring managers!)