Related skills
bigquery snowflake sql python ai📋 Description
- Understand data needs of stakeholder teams and translate to technical requirements
- Build and own core data models, datasets, and dashboards for product decision-making
- Partner with Product, Engineering, and Growth to align metric definitions and instrument features
- Build scalable data systems and workflows to improve data accessibility and reliability
- Develop AI-ready data models and self-service insights
- Deliver insights to inform product strategy and growth experiments
🎯 Requirements
- 5+ years of analytics engineering, BI, or data roles in SaaS/tech
- Deep experience supporting Product, Growth, or Engineering in a product-led environment
- Proficient in SQL and building analytical data models with dbt or similar tools
- Experience with modern data warehouses (ClickHouse, Snowflake, BigQuery); eager to go deep on ClickHouse
- Proficient in Python for data analysis, automation, or workflow development
- Fluent with AI tools and workflows, including LLMs and automation frameworks
🎁 Benefits
- Flexible work environment; remote-friendly; global team
- Healthcare; employer contributions toward health
- Equity in the company; stock options
- Flexible time off; US vs other countries
- $500 home office setup for remote employees
- Global gatherings; company-wide offsites
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