Analytics Engineer

📋 Description

• Own end-to-end data pipelines and models powering Sales and Product analytics
• Build curated, governed data marts enabling fast, reliable decision-making
• Design dimensional data models (dbt) for core entities like accounts, pipeline, usage
• Partner with Sales, Product, Analytics to create holistic views of customer and product lifecycle
• Raise data quality, testing, monitoring, and documentation
• Enable reverse ETL to operationalize insights into business systems

🎯 Requirements

• 5+ years in analytics or data engineering in a modern data stack (Snowflake/BigQuery/Redshift)
• Strong expertise in SQL and dbt for scalable production models
• Proficiency in Python for orchestration or tooling
• Experience owning end-to-end data workflows from ingestion to business impact
• Translate ambiguous business needs into structured data solutions
• Strong communication with non-technical stakeholders

🎁 Benefits

• Up to 10% travel for onboarding, client or partner work
• Generous benefits including health, welfare, and wellbeing
• Equity and sign-on payments where eligible
• Annual bonus plan or variable compensation where applicable