Lead Analytics Engineer at Flywire

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

200000.0

Posted On

18 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, dbt, Data Modeling, SQL Transformations, Data Pipelines, Airflow, Data Quality, Data Governance, Self-Service Analytics, Cloud Data Warehouses, Git, CI/CD, Python, Docker, BI Tools, Looker

Industry

Software Development

Description

Company Description Are you ready to trade your job for a journey? Become a FlyMate! Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire, we’re on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world. What more do we need to truly be unstoppable? Perhaps, that is you! Who we are: Flywire is a global payments enablement and software company, founded more than a decade ago to solve high-stakes, high-value payments in higher education. We’ve since scaled into new regions and industry verticals and expanded our product offerings to deliver meaningful value to our clients around the world. Today we support more than 4,800 clients across the global education, healthcare, travel & B2B industries, with diverse payment methods across 240 countries & territories and more than 140 currencies. With over 1,200 global FlyMates, representing more than 40 nationalities, and in 12 offices world-wide, we’re looking for FlyMates to join the next stage of our journey as we continue to grow. Job Description 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. Qualifications Here’s What We’re Looking For: 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 Expert modeling skills: 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 Experience with dbt-Elementary or Great Expectations is preferred Experience with dbt-Osmosis or Great Expectations is preferred Ability to communicate and follow up with internal stakeholders in a timely manner and excellent attention to detail. Experience with BI Tools (Looker or Preset) is a plus Technologies We Use : GCP/AWS Fivetran/Apache Beam -> BigQuery -> dbt -> Looker/Preset Airflow (GCP Composer) Flink and Apache Beam Additional Information What We Offer: 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!) Submit today and get started! We are excited to get to know you! Throughout our process you can expect to meet different FlyMates including the Hiring Manager and other Flymates. Your Talent Acquisition Partner will walk you through the steps and be your “go-to” person for questions. Flywire is an equal opportunity employer. With over 40 nationalities across 12 different offices, and diversity and inclusion at the core of our people agenda, we believe our FlyMates are our greatest asset, and we’re excited to watch our unique culture evolve with each new hire. The US base salary range for this full-time position is $170,000-$200,000 plus benefits. Our salary ranges are determined by role, position level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and several other factors, including job-related skills, experience, relevant education and training. #LI-Hybrid

Responsibilities

The Lead Analytics Engineer will bridge the gap between Data Engineering and Analytics by gathering business requirements and modeling data from all company areas using best practice techniques. Key duties include designing scalable data models, developing complex SQL transformations using dbt, building reliable data pipelines in collaboration with data engineering, and enabling self-service analytics for end-users.