Analytics Engineer

📋 Description

• Own the definitions, documentation, and change control for your domain's certified metrics.
• Define and enforce freshness, completeness, and accuracy expectations for the datasets and
• Design, build, and maintain the dbt models and semantic layer that serve your domain — written in
• Build in-product data and insight features end to end: embedded metric panels and insight cards
• Provide support to business users with more complex analytics requests, with the goal to enable
• Partner with product managers, engineers, and business owners in your domain; document your work so

🎯 Requirements

• SQL (required): Strong query writing, data modeling, and performance-aware analytics against large
• Demonstrated ability to apply AI to data and product analysis, including using AI-assisted tools to
• Python (required): Proficient in data analysis, transformation and automation scripting, and rapid
• Experience: 3-5 years in analytics engineering, data analysis, BI, or a comparable data role, with
• Data quality instinct: Habit of validating your own numbers before publishing them — reconciliation
• Business curiosity: Ability to learn a business process deeply and translate it into metrics