Analytics Engineer

SupplyHouse.com is an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies. The Analytics Engineer will build the company’s production data layer in BigQuery, own the transformation layer between raw data and reporting, standardize business metrics, and enable trusted self-service analytics. The role also involves data quality testing, documentation, stakeholder partnership, and shaping the future BI layer.

Responsibilities:

• Design and build a layered, version-controlled data model in BigQuery using a modern transformation framework (Dataform)
• Migrate business logic out of hundreds of ad hoc scheduled queries into governed, reusable, tested models
• Work with the team to define and own the canonical definitions of core business metrics
• Implement automated data testing and continuous integration so data quality is enforced before changes ship
• Document models, definitions, and data lineage so knowledge lives in the system
• Partner with analysts and business stakeholders to build a foundation that supports reliable self-serve reporting
• Partner with analysts and business stakeholders to build a foundation that supports reliable self-serve reporting
• Partner with IT to support accurate and timely raw data ingestion from the IT side
• Help evaluate and shape the go-forward BI layer, given that the current Power BI setup is open to reconsideration

Requirements:

• Bachelors degree in a quantitative, technical, or related field
• 2+ years of data modeling experience
• Strong SQL skills and hands-on experience building production-ready data models within a cloud data warehouse
• Hands-on experience using a data transformation framework, such as dbt, Dataform, or a comparable tool
• Software engineering fundamentals applied to analytics: version control (Git), testing, code review, and CI
• Layered or dimensional data modeling experience, with a track record of maintainable, well-documented datasets
• Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse.com will not sponsor applicants for work visas
• Experience working with Google BigQuery as a cloud data warehouse
• Experience using Google Cloud Dataform to build and manage data transformations
• Direct experience standing up a data model or semantic layer from scratch
• Familiarity with Google Cloud tooling and Dataform specifically
• Exposure to distribution, e-commerce, HVAC, or plumbing data domains