Senior Analytics Engineer

📋 Description

• Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue
• Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into
• Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author
• Own the metric dictionary for your domain: a single source of truth for what each metric means, who
• Author data contracts and SLAs at the Silver→Gold boundary, partnering with Horizontal Data
• Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data

🎯 Requirements

• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and
• 4+ years in analytics engineering, data engineering, or a closely related analytics role, with a
• Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas
• Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling
• Practical experience with data quality testing and observability, schema management and data
• Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline

🎁 Benefits

• Generous, transparent and fair compensation system (base salary and RSUs)
• Health insurance with dental
• Breakfast and lunch catering on the days that you work from the office
• Home office setup budget
• Gym/Fitness card
• Fertility healthcare and family-forming support with Carrot