Senior Analytics Engineer II

📋 Description

• Lead the development of analytics products and self-serve tools so teams across Wrapbook can access
• Own analytics products end to end, from defining success metrics and designing schemas through
• Build and maintain reliable ETL/ELT pipelines and canonical datasets that support analytical
• Build the governed data layer, including semantic models, canonical views, metric definitions, and
• Structure models, definitions, and documentation so data is usable by people and by AI agents.
• Identify business questions, translate them into structured analytical problems, and develop data

🎯 Requirements

• 4+ years in data or analytics engineering. You've built and operated production pipelines end to
• Strong SQL and solid Python. Hands-on experience with ETL and orchestration tools (Airbyte
• Experience with modern data warehouses (Snowflake, Databricks, or Redshift), including query and
• Strong data modeling skills. You understand the business meaning behind the metrics, not just how
• A bias for action. You ship useful, iterative data models that deliver value without waiting for a
• Experience building governed data layers (semantic models, canonical views, metric definitions, or

🎁 Benefits

• Unlimited Paid Time Off
• Work from anywhere in Canada and USA
• Health and Dental benefits
• Up to $1,500 USD/ $2,025 CAD towards IT set up for your home
• Up to 2% matching RRSP / 401K
• Learning and Development opportunities