Cloudbeds

Analytics Engineer

• Bridge the gap between raw data and actionable insights
• Own the modeling layer and maintain scalable data models and curated datasets (primarily in Snowflake)
• Design and optimize scalable data pipelines and ETL workflows using tools like Matillion, SQL and Python
• Implement proactive validation and monitoring to ensure data quality
• Build business-friendly datasets that support self-service analytics
• Partner with cross-functional teams (Product, Engineering, Operations) to translate business needs into data products
• Contribute to standardization of key metrics and documentation to ensure clarity and alignment across teams

• Help bridge the gap between raw data and actionable insights by owning the modeling layer, designing and optimizing scalable data pipelines, and building business-friendly datasets
• 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
• Partner with cross-functional teams (Product, Engineering, Operations) to understand business needs and translate them into actionable data products
• Contribute to the standardization of key metrics and documentation to ensure clarity and alignment across teams
• Collaborate across departments to deliver analysis and insights and support analytics projects and decision making

• Bridge the gap between raw data and actionable insights within the BI team
• Own the modeling layer and maintain scalable, business‑friendly data models (primarily in Snowflake)
• Design and optimize scalable data pipelines and ETL workflows using Matillion (or similar), SQL and Python
• Build curated datasets that support self-service analytics across the organization
• Implement proactive validation and monitoring to ensure data quality and trust
• Partner with cross-functional teams (Product, Engineering, Operations) to translate business needs into data products
• Contribute to 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
• 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

• Bridge the gap between raw data and actionable insights
• Own the modeling layer and design and optimize scalable data pipelines
• Build business-friendly datasets that empower better decision-making across the org
• Ensure data quality, clarity, and consistency through proactive validation and monitoring
• Partner with cross-functional teams (Product, Engineering, Operations) to translate business needs into data products
• Own and maintain scalable data models and curated datasets (primarily in Snowflake) that support self-service analytics
• Design and optimize ETL workflows using tools like Matillion (or similar), SQL, and Python for reliable data delivery
• Contribute to the standardization of key metrics and documentation to ensure clarity and alignment across teams

• Bridge the gap between raw data and actionable insights across the organization
• Own the modeling layer and maintain scalable, business-friendly data models (primarily in Snowflake)
• Design and optimize scalable data pipelines and ETL workflows using Matillion (or similar), SQL and Python
• Build curated datasets to support self-service analytics and faster decision-making
• Implement proactive validation and monitoring to ensure data quality, clarity, and consistency
• Partner with cross-functional teams (Product, Engineering, Operations) to translate business needs into data products
• Contribute to standardization of key metrics and documentation

• Own the modeling layer, design and optimize scalable data pipelines, and build business-friendly datasets
• Design and optimize data pipelines and ETL workflows using tools like Matillion (or similar), SQL and Python for reliable data delivery
• Own and maintain scalable data models and curated datasets (primarily in Snowflake) that support self-service analytics
• Implement proactive validation and monitoring to ensure trust in data quality
• Partner with cross-functional teams (Product, Engineering, Operations) to understand business needs and translate them into actionable data products
• Contribute to the standardization of key metrics and documentation to ensure clarity and alignment across teams
• Deliver analysis and insights to the business and collaborate across departments to support analytics projects and decision making

• 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