Lead Analytics Engineer

Flywire • Boston, MA

12h • $170,000 - $200,000 • Hybrid

About The Position

The Opportunity: We are seeking a Lead Analytics Engineer to join our Data Analytics team and further scale our data driven company. In this role, you will bridge the gap between Data Engineering and Analytics to enable our end users to make the most of our data. You will handle data from all areas of the company and modeling that data using data modeling techniques, and succeed through the following responsibilities:
Business Stakeholder Engagement 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. Strong ability to understand business concepts and needs and translate into technical designs and solutions
Data Modeling & Transformation 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.
Data Pipeline & Orchestration 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
Data Quality & Governance 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.
Enabling Data Democratization and Self-Service Analytics 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.

Requirements

• Bachelor Degree in Economics, Mathematics, or Computer Science
• 10+ years of experience in an Analytics Engineering role
• Strong proficiency in SQL
• Strong proficiency with dbt and data modeling tools
• Expert modeling skills: Vault 2.0, 3NF, Dimensional Modeling, etc.
• Advanced experience with cloud data warehouses (BigQuery, Snowflake, Redshift, or Databricks) and designing scalable models
• Experience with git and CI/CD deployments
• Ability to communicate and follow up with internal stakeholders in a timely manner and excellent attention to detail.

Nice To Haves

• Experience with dbt-Elementary, dbt-Osmosis, or Great Expectations is preferred
• Experience in developing metadata-driven data quality and business rule frameworks
• Experience with BI Tools (Looker or Preset) is a plus

Responsibilities

• Business Stakeholder Engagement 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.
• Strong ability to understand business concepts and needs and translate into technical designs and solutions
• Data Modeling & Transformation 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.
• Data Pipeline & Orchestration 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
• Data Quality & Governance 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.
• Enabling Data Democratization and Self-Service Analytics 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.

Benefits

• Competitive compensation
• Employee Stock Purchase Plan (ESPP)
• Flying Start - Our immersive Global Induction Program (Meet our Execs & Global Teams)
• Work with brilliant people that will keep you on your toes, learn more about their journeys by checking out #InsideFlywire on social media
• Dynamic & Global Team (we have been collaborating virtually for years!)
• Wellbeing Programs (Mental Health, Wellness, Yoga/Pilates/HIIT Classes) with Global FlyMates
• Competitive time off including FlyBetter Days to volunteer in your community and Digital Disconnect Days!
• Great Talent & Development Programs (Managers Taking Flight – for new or aspiring managers!)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level