Analytics Engineer, Customer Experience

📋 Description

• Design and maintain dbt data models for support data, covering ticketing, KYC, withdrawals, and
• Integrate data from sources including Decagon, BPO partners, CRM systems, and WFM tools into the
• Build data quality tests, monitoring, and documentation so the team can trust what they're looking
• Define shared metrics and dimensions in the semantic layer so CX, ops, and leadership are all
• Build dashboards and self-serve datasets that let CX teammates answer operational questions without
• Identify recurring failure patterns in support data and translate them into documented findings for

🎯 Requirements

• 5+ years in analytics engineering, data engineering, or a closely related data role
• Expert SQL and strong hands-on dbt experience, including modeling, testing, and documentation
• Experience working with a cloud data warehouse such as Snowflake, BigQuery, or Redshift
• Experience with data ingestion tools such as Fivetran or Airbyte, and working knowledge of Python
• Strong data modeling fundamentals and a track record of building systems that non-technical teams
• Experience diagnosing complex, multi-variable issues and communicating findings clearly to

🎁 Benefits

• Competitive salary & equity
• Unlimited PTO
• Full Health, Vision, & Dental coverage
• 401k match
• Hardware setup: new MacBook Pro, big display, & accessories