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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Contact Details:
0026 Checkout Technology Ltd Recruitment Team
