Analytics Engineer

📋 Description

• Build and edit SQL to power audiences and campaigns.
• Work with a single enterprise client to understand data needs.
• Design scalable data models for analytical and operational goals.
• Improve internal workflows and tooling for efficiency and repeatability.
• Partner with client stakeholders on technical and strategic data decisions.
• Investigate data discrepancies and deltas to answer real questions.

🎯 Requirements

• 2+ years SQL in production.
• Experience querying cloud data warehouses: BigQuery, Snowflake, Redshift, Databricks.
• Strong data pipelines, ETL/reverse ETL, event streaming, and data modeling.
• Excellent communication with technical and non-technical partners.
• Calm under tight, recurring deadlines; quick turnarounds.

🎁 Benefits

• Remote-first culture with North America and beyond presence.
• Flexible time off.
• Annual home office stipend to support workspace.
• 100% company-paid medical coverage for individuals.
• 401(k) or RRSP with generous company match (Canada).
• Quarterly Hackathons and professional development stipend.