Senior Analytics Engineer

As a Data Analytics Engineer, you will enable key product insights and establish a single source of truth for North Star metrics, collaborating with product managers and data scientists to shape Checkout’s product evolution. You’ll build data products and drive analytics across critical areas, owning multiple data products from design to deployment. You’ll design scalable data models and Looker structures to empower self-serve analytics and governance. This role offers impact through data-driven decisions and the opportunity to advance Checkout’s analytics capabilities in a fast-paced fintech environment.

• hybrid working model
• growth opportunities
• ownership and impact
• collaboration culture

• Design scalable data models for the data warehouse using dbt and Snowflake
• Create Looker explorations and views to enable self-serve analytics
• Collaborate with data analysts and business teams to translate requirements into analyzable data
• Continuously discover, transform, test, deploy and document data sources and models
• Champion data warehouse governance including quality, testing, and best practices
• Improve analytics engineering workflows and platform performance

• Delivery experience as a data, BI or analytics engineer
• Strong data modelling and warehousing experience in large-scale environments
• Experience with analytics SDLC including version control, testing, and CI/CD
• Excellent SQL and data transformation skills (dbt or similar)
• Familiarity with Snowflake, AWS, Google Cloud, or Azure
• Passion for sales, finance, customer, marketing and/or product analytics
• Attention to detail to identify data quality issues

• collaboration
• ownership
• attention to detail
• dbt
• Looker
• Snowflake