Analytics Engineer
Cloudbeds
ETLMatillionPythonSQLTableau
Job Level
Mid-LevelSenior
Tech Stack
ETLMatillionPythonSQLTableau
About the role
- Bridge the gap between raw data and actionable insights; own the modeling layer, design and optimize scalable data pipelines, and build business-friendly datasets that empower decision-making across the org
- Own and maintain scalable data models and curated datasets (primarily in Snowflake) that support self-service analytics
- Design and optimize data pipelines and ETL workflows using tools like Matillion (or similar), SQL and Python for reliable data delivery
- Implement proactive validation and monitoring to ensure trust in data quality
- Contribute to the standardization of key metrics and documentation to ensure clarity and alignment across teams
- Partner with cross-functional teams (Product, Engineering, Operations) to understand business needs and translate them into actionable data products
- Deliver analysis and insights to support analytics projects and business decision making
Requirements
- 3–5 years in analytics engineering, data engineering, or data analytics roles
- Strong SQL skills, including CTEs, window functions, and query optimization
- Familiarity with Python for light data manipulation and integrations
- Experience working with modern data warehouses (Snowflake preferred) and orchestration tools
- Ability to work independently and communicate clearly with both technical and non-technical stakeholders
- Bonus: Experience with Matillion, dbt, or other transformation layer tools
- Bonus: Familiarity with BI tools like Sigma or Tableau
- Bonus: Git version control experience