Analytics Engineer

📋 Description

• Build, maintain, and debug complex SQL queries that power audience creation and email and direct
• Work closely with an enterprise client to understand its objectives, data environment, challenges
• Design and implement scalable data models for analytical and operational use cases.
• Investigate data discrepancies, compare datasets, analyze deltas, and identify root causes of data
• Support live campaign workflows and recurring weekly deliverables to ensure accurate execution.
• Contribute to migrating to a new cloud data environment by rebuilding recurring processes and

🎯 Requirements

• At least 2 years of hands-on experience writing, reading, and debugging complex SQL queries in
• Strong practical experience with cloud data warehouses such as BigQuery, Snowflake, Redshift, or
• Solid understanding of data engineering fundamentals: data pipelines, ETL, reverse ETL, event
• Ability to investigate complex data issues and translate business questions into practical
• Strong communication skills to collaborate with technical and non-technical stakeholders.
• Comfortable working directly with enterprise customers and understanding their data needs.

🎁 Benefits

• On-target earnings of $110,000–$120,000 USD, with total compensation including equity and potential
• Equity participation, allowing employees to share in the value they help create.
• Spot bonuses for major milestones and launches.
• Clear career progression and cross-functional collaboration opportunities.
• Remote-first work environment with teams across North America and beyond.
• Flexible, goal-based working style to support autonomy and productivity.