Analytics Engineer
Cloudbeds
ETLMatillionPythonSQLTableau
Job Level
Mid-LevelSenior
Tech Stack
ETLMatillionPythonSQLTableau
About the role
- Partner with cross-functional teams (Product, Engineering, Operations) to understand business needs and translate them into actionable data products
- Own and maintain the modeling layer and scalable data models (primarily in Snowflake) that support self-service analytics
- Design and optimize scalable data pipelines and ETL workflows using tools like Matillion (or similar), SQL and Python for reliable data delivery
- Build business-friendly curated datasets to empower better decision-making across the organization
- Implement proactive validation and monitoring to ensure trust in data quality, clarity, and consistency
- Contribute to the standardization of key metrics and documentation to ensure clarity and alignment across teams
- Collaborate within a lean BI team to deliver analysis and insights to the business
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
- Experience designing and optimizing data pipelines and ETL workflows (Matillion or similar)
- Ability to work independently and communicate clearly with both technical and non-technical stakeholders
- Experience with Matillion, dbt, or other transformation layer tools (optional)
- Familiarity with BI tools like Sigma or Tableau (optional)
- Git version control experience (optional)