Job Description
<h3>📋 Description</h3> • Building the foundation for reliable and scalable analytics across the business
• Owning and developing our core semantic layer in dbt
• Designing and maintaining trusted dashboards
• Building pipelines that ensure data accuracy, freshness, and trust in our metrics
• Working with stakeholders to define metrics and translate business needs into scalable data products
• Leading projects from idea through to delivery, with plenty of autonomy <h3>🎯 Requirements</h3> • 3+ years in an analytics engineering or similar role, ideally in a fast-paced or startup environment
• The ability to be a strong communicator who can adapt your message and style to suit technical experts, executives, and everyone in between - ensuring alignment and understanding at every level
• Deep SQL expertise and hands-on experience with dbt
• Proven ability to build a clean, well-documented semantic layer in dbt and dashboards using tools like Metabase, Looker, or Tableau
• Experience managing data quality in a cloud warehouse (e.g., Redshift, Snowflake)
• Solid Git/version control practices and code quality habits
• A love for clean, trusted data and enabling teams to make decisions
• Bonus: familiarity with Dagster, Amplitude, or marketing/growth data