Analytics Engineer

• Own the presentation layer: Design, build, and maintain dbt models and Snowflake data marts that power dashboards, reports, and key business metrics.
• Evolve our data infrastructure: Lead initiatives around new data architecture, warehouse optimization, and data governance.
• Bridge data and business: Partner with analysts, product managers, and operations to translate questions into scalable data models and clear insights.
• Drive best practices: Champion code quality, documentation, and version control (GitHub), while mentoring peers on modern analytics engineering patterns.
• Ensure reliability: Monitor data pipelines, manage warehouse performance, and implement alerting or cost-optimization strategies (e.g., warehouse sizing, query tuning).
• Enable self-service: Build semantic layers and train teams to use data confidently through tools like Looker, Omni, or Hex.

Senior Analytics Engineer

Data Analyst Engineer

Analytics Engineer

Data Analytics Engineer – Snowflake

Senior Analytics Engineer