Analytics Engineer

📋 Description

• Partner with the business. Work with Finance, Sales, Operations, and venue teams to understand
• Own ingestion for your domains. Set up and maintain Fivetran connectors, land data in bronze, and
• Model the business. Build dbt models that move data through bronze, silver, and gold, and shape
• Own the semantic layer. Set metrics, dimensions, and relationships so a number means the same thing
• Power self-service in ThoughtSpot. Build the models and Liveboards that let teams explore data on
• Own the quality of conversational analytics. Test answers the way you'd test code. Build and

🎯 Requirements

• 3+ years in analytics engineering, data engineering, or BI development, building data products
• Write strong SQL and have built and maintained dbt models in production.
• Worked in a cloud data warehouse, ideally Snowflake.
• Worked with ELT ingestion tools like Fivetran and can troubleshoot source-data issues such as
• Understand data modeling: dimensional models, medallion layering, and clear reasoning about grain
• Built dashboards or self-service data products that people use to make decisions.

🎁 Benefits

• Day-one health coverage for you and your family, 24/7 virtual care, emotional well-being support
• Generous PTO, your birthday off, paid parental leave, and a year-end holiday closure.
• 401K with company match and support for education, courses, and certifications.
• Ongoing career growth opportunities plus recognition programs to celebrate milestones.
• Volunteer and give-back opportunities, and the chance to make a real impact in the work you do.