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.