Analytics Engineer

Job Description As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics. How You'll Make An Impact Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake.

Design and implement Looker structures (explores, views, etc.) which will enable users across the organization to self‐serve analytics. Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting.

Continuously discover, transform, test, deploy and document data sources and data models. Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviews.

Take initiative to improve and optimise analytics engineering workflows and platforms. Own end‐to‐end responsibility for multiple data products from design to implementation to operationalisation. Key Requirements Proven delivery experience as a data, business intelligence or analytics engineer.

Hands‐on proven data modeling and data warehousing skills demonstrated in large‐scale data environments. Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD). Excellent SQL and data transformation skills (ideally proficient in dbt or similar).

Familiarity with at least one cloud technology: Snowflake, AWS, Google Cloud, or Microsoft Azure. Passionate about sales, finance, customer, marketing and/or product analytics data. Good attention to detail to highlight and address data quality issues.

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