Analytics Engineer (Remote) (Rancagua)

Join to apply for the Analytics Engineer (Remote) role at CloudbedsAt Cloudbeds, we're not just building software, we're transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team.How You'll Make an Impact : As an Analytics Engineer, you'll help bridge the gap between raw data and actionable insights. Working within the BI team, you'll own the modeling layer, design and optimize scalable data pipelines, and build business-friendly datasets that empower better decision-making across the org. Your work will be foundational to ensuring data quality, clarity, and consistency — helping the business get trusted insights faster.Our Business Intelligence Team : We are a lean team that works to deliver the Analysis and Insights to the business. We collaborate across departments to understand business challenges, design and maintain scalable, business-friendly data models and curated datasets that help in their analytics projects and decision making. People who thrive here are naturally curious, highly accountable, and enjoy translating numbers into real-world business outcomes.What You Bring to the Team : Partner with cross-functional teams (e.g., Product, Engineering, Operations) to understand business needs and translate them into actionable data products, in close collaboration with your BI teammatesOwn and maintain scalable data models and curated datasets (primarily in Snowflake) that support self-service analyticsDesign and optimize data pipelines and ETL workflows using tools like Matillion (or similar), SQL and Python for reliable data deliveryImplement proactive validation and monitoring to ensure trust in data qualityContribute to the standardization of key metrics and documentation to ensure clarity and alignment across teamsWhat Sets You Up for Success : 3–5 years in analytics engineering, data engineering, or data analytics rolesStrong SQL skills, including CTEs, window functions, and query optimizationFamiliarity with Python for light data manipulation and integrationsExperience working with modern data warehouses (Snowflake preferred) and orchestration toolsAbility to work independently and communicate clearly with both technical and non-technical stakeholdersBonus Skills to Stand Out (Optional) : Experience with Matillion, dbt, or other transformation layer toolsFamiliarity with BI tools like Sigma or TableauCloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our integral team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at

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